Patent Publication Number: US-2023137799-A1

Title: Shear thickening fluid based object control method and mechanism

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     The present U.S. Utility Patent Application claims priority pursuant to 35 U.S.C. § 119(e) to U.S. Provisional Application No. 63/273,230, entitled “SHEAR THICKENING FLUID BASED OBJECT MOVEMENT CONTROL MECHANISM”, filed Oct. 29, 2021, which is hereby incorporated herein by reference in its entirety and made part of the present U.S. Utility Patent Application for all purposes. 
    
    
     STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT 
     Not Applicable. 
     INCORPORATION-BY-REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISC 
     Not Applicable. 
     BACKGROUND OF THE INVENTION 
     Technical Field of the Invention 
     This invention relates generally to systems that measure and control mechanical movement and more particularly to sensing and controlling of a linear and/or rotary movement mechanism that includes a chamber with dilatant fluid (e.g., a shear thickening fluid). 
     Description of Related Art 
     Many mechanical mechanisms are subject to undesired movement that can lead to annoying sounds, property damage and/or loss, and personal injury and even death. Desired and undesired movements of the mechanical mechanisms may involve a wide range of forces. A need exists to control the wide range of forces to solve these problems. 
    
    
     
       BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S) 
         FIG.  1 A  is a schematic block diagram of an embodiment of a mechanical and computing system in accordance with the present invention; 
         FIG.  1 B  is a graph of viscosity vs. shear rate for an aspect of an embodiment of a mechanical and computing system in accordance with the present invention; 
         FIG.  1 C  is a graph of plunger velocity vs. force applied to the plunger for an aspect of an embodiment of a mechanical and computing system in accordance with the present invention; 
         FIG.  2 A  is a schematic block diagram of an embodiment of a computing entity of a computing system in accordance with the present invention; 
         FIG.  2 B  is a schematic block diagram of an embodiment of a computing device of a computing system in accordance with the present invention; 
         FIG.  3    is a schematic block diagram of another embodiment of a computing device of a computing system in accordance with the present invention; 
         FIG.  4    is a schematic block diagram of an embodiment of an environment sensor module of a computing system in accordance with the present invention; 
         FIGS.  5 A- 5 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects in accordance with the present invention; 
         FIGS.  6 A- 6 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects in accordance with the present invention; 
         FIGS.  7 A- 7 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects in accordance with the present invention; 
         FIGS.  8 A- 8 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects in accordance with the present invention; and 
         FIGS.  9 A- 9 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects in accordance with the present invention. 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       FIG.  1 A  is a schematic block diagram of an embodiment of a mechanical and computing system that includes a set of head units  10 - 1  through  10 -N, objects  12 - 1  through  12 - 3 , computing entities  20 - 1  through  20 -N associated with the head units  10 - 1  through  10 -N, and a computing entity  22 . The objects include any object that has mass and moves. Examples of an object include a door, an aircraft wing, a portion of a building support mechanism, and a particular drivetrain, etc. 
     The cross-sectional view of  FIG.  1 A  illustrates a head unit that includes a chamber  16 , a piston  36 , a plunger  28 , a plunger bushing  32 , and a chamber bypass  40 . The chamber  16  contains a shear thickening fluid (STF)  42 . The chamber  16  includes a back channel  24  and a front channel  26 , where the piston partitions the back channel  24  and the front channel  26 . The piston  36  travels axially within the chamber  16 . The chamber  16  may be a cylinder or any other shape that enables movement of the piston  36  and compression of the STF  42 . The STF  42  is discussed in greater detail with reference to  FIGS.  1 B and  1 C . 
     The plunger bushing  32  guides the plunger  28  into the chamber  16  in response to force from the object  12 - 1 . The plunger bushing  32  facilitates containment of the STF within the chamber  16 . The plunger bushing  32  remains in a fixed position relative to the chamber  16  when the force from the object moves the piston  36  within the chamber  16 . In an embodiment the plunger bushing  32  includes an O-ring between the plunger bushing  32  and the chamber  16 . In another embodiment the plunger bushing  32  includes an O-ring between the plunger bushing  32  and the plunger  28 . 
     The piston  36  includes a piston bypass  38  between opposite sides of the piston to facilitate flow of a portion the STF between the opposite sides of the piston (e.g., between the back channel  24  and the front channel  26 ) when the piston travels through the chamber in an inward or an outward direction. 
     Alternatively, or in addition to, the chamber bypass  40  is configured between opposite ends of the chamber  16 , wherein the chamber bypass  40  facilitates flow of a portion of the STF between the opposite ends of the chamber when the piston travels through the chamber in the inward or outward direction (e.g., between the back channel  24  and the front channel  26 ). 
     In alternative embodiments, the piston bypass  38  and the chamber bypass  40  includes mechanisms to enable STF flow in one direction and not an opposite direction. In further alternative embodiments, a control valve within the piston bypass  38  and/or the chamber bypass  40  controls the STF flow between the back channel  24  and the front channel  26 . Each bypass includes one or more of a one-way check valve and a variable flow valve. 
     The plunger  28  is operably coupled to a corresponding object by one of a variety of approaches. A first approach includes a direct connection of the plunger  28  to the object  12 - 1  such that linear motion in any direction couples from the object  12 - 1  to the plunger  28 . A second approach includes the plunger  28  coupled to a cap  44  which receives a one way force from a strike  48  attached to the object  12 - 2 . A third approach includes a pushcap  46  that receives a force from a rotary-to-linear motion conversion component that is attached to the object  12 - 3 . In an example, the object  12 - 3  is connected to a camshaft  110  which turns a cam  109  to strike the pushcap  46 . 
     In an embodiment, two or more of the head units are coupled by a head unit connector  112 . When so connected, actuation of a piston in a first head unit is essentially replicated in a piston of a second head unit. The head unit connector  112  includes a mechanical element between plungers of the two or more head units and/or direct connection of two or more plungers to a common object. For example, plunger  28  of head unit  10 - 1  and plunger  28  of head unit  10 - 2  are directly connected to object  12 - 1  when utilizing a direct connection. 
     Further associated with each head unit is a set of emitters and a set of sensors. For example, head unit  10 -N includes a set of emitters  114 -N- 1  through  114 -N-M and a set of sensors  116 -N- 1  through  116 -N-M. Emitters includes any type of energy and or field emitting device to affect the STF, either directly or indirectly via other nanoparticles suspended in the STF. Examples of emitter categories include light, audio, electric field, magnetic field, wireless field, etc. Specific examples of fluid manipulation emitters include a variable flow valve associated with a bypass or injector or similar, a variable partition actuator, a mechanical vibration generator, an image generator, a light emitter, an audio transducer, a speaker, an ultrasonic sound transducer, an electric field generator, a magnetic field generator, and a radio frequency wireless field transmitter. Specific examples of magnetic field emitters include a Helmholtz coil, a Maxwell coil, a permanent magnet, a solenoid, a superconducting electromagnet, and a radio frequency transmitting coil. 
     Sensors include any type of energy and/or field sensing device to output a signal that represents a reaction, motion or position of the STF. Examples of sensor categories include bypass valve position, mechanical position, image, light, audio, electric field, magnetic field, wireless field, etc. Specific examples of fluid flow sensors include a valve opening detector associated with the chamber  16  or any type of bypass (e.g., piston bypass  38 , chamber bypass  40 , a reservoir injector, or similar), a variable partition sensor, a mechanical position sensor, an image sensor, a light sensor, an audio sensor, a microphone, an ultrasonic sound sensor, an electric field sensor, a magnetic field sensor, and a radio frequency wireless field sensor. Specific examples of magnetic field sensors include a Hall effect sensor, a magnetic coil, a rotating coil magnetometer, an inductive pickup coil, an optical magnetometry sensor, a nuclear magnetic resonance sensor, and a caesium vapor magnetometer. 
     The computing entities  20 - 1  through  20 -N are discussed in detail with reference to  FIG.  2 A . The computing entity  22  includes a control module  30  and a chamber database  34  to facilitate storage of history of operation, desired operations, and other aspects of the system. 
     In an example of operation, the head unit  10 - 1  controls motion of the object  12 - 1  and includes the chamber  16  filled at least in part with the shear thickening fluid  42 , the piston  36  housed at least partially radially within the chamber  16 , and the piston  36  is configured to exert pressure against the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston from the object  12 - 1 . The movement of the piston  36  includes one of traveling through the chamber  16  in an inward direction or traveling through the chamber  16  in an outward direction. The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. 
     The shear thickening fluid  42  (e.g., dilatant non-Newtonian fluid) has nanoparticles of a specific dimension that are mixed in a carrier fluid or solvent. Force applied to the shear thickening fluid  42  results in these nanoparticles stacking up, thus stiffening and acting more like a solid than a flowable liquid when a shear threshold is reached. In particular, viscosity of the shear thickening fluid  42  rises significantly when shear rate is increased to a point of the shear threshold. The relationship between viscosity and shear rates is discussed in greater detail with reference to  FIGS.  1 A and  1 B . 
     In another example of operation, the object  12 - 1  applies an inward motion force on the plunger  28  which moves the piston  36  in words within the chamber  16 . As the piston moves inward, shear rate of the shear thickening fluid  42  changes. A sensor  116 - 1 - 1  associated with the chamber  16  of the head unit  10 - 1  outputs chamber I/O  160  to the computing entity  20 - 1 , where the chamber I/O  160  includes a movement data associated with the STF  42  as a result of the piston  36  moving inwards. Having received the chamber I/O  160 , the computing entity  20 - 1  interprets the chamber I/O  160  to reproduce the movement data. 
     The computing entity  20 - 1  outputs the movement data as a system message  162  to the computing entity  22 . The control module  30  stores the movement data in the chamber database  34  and interprets the movement data to determine whether to dynamically adjust the viscosity of the shear thickening fluid. Dynamic adjustment of the viscosity results in dynamic control of the movement of the piston  36 , the plunger  28 , and ultimately the object  12 - 1 . Adjustment of the viscosity affects velocity, acceleration, and position of the piston  36 . 
     The control module  30  determines whether to adjust the viscosity based on one or more desired controls of the object  12 - 1 . The desired controls include accelerating, deaccelerating, abruptly stopping, continuing on a current trajectory, continuing at a constant velocity, or any other movement control. For example, the control module  30  determines to abruptly stop the movement of the object  12 - 1  when the object  12 - 1  is a door and the door is detected to be closing at a rate above a maximum closing rate threshold level and when the expected shear rate versus viscosity of the shear thickening fluid  42  requires modification (e.g., boost the viscosity now to slow the door from closing too quickly). 
     When determining to modify the viscosity, the control module  30  outputs a system message  162  to the computing entity  20 - 1 , where the system message  162  includes instructions to immediately boost the viscosity beyond the expected shear rate versus viscosity of the shear thickening fluid  42 . Alternatively, the system message  162  includes specific information on the relationship of viscosity versus shear rate. 
     Having received the system message  162 , the computing entity  20 - 1  determines a set of adjustments to make with regards to the shear thickening fluid  42  within the chamber  16 . The set of adjustments includes one or more of adjusting STF  42  flow through the chamber bypass  40 , adjusting STF  42  flow through the piston bypass  38 , and activating an emitter of a set of emitters  114 - 1 - 1  through  114 -N- 1 . The flow adjustments include regulating within a flow range, stopping, starting, and allowing in one particular direction. For example, the computing entity  20 - 1  determines to activate emitter  114 - 1 - 1  to produce a magnetic field such as to interact with magnetic nanoparticles within the STF  42  to raise the viscosity. The computing entity  20 - 1  issues another chamber I/O  160  to the emitter  114 - 1 - 1  to initiate a magnetic influence process to boost the viscosity of the STF  42 . 
     In an alternative embodiment, the computing entity  22  issues another system message  162  to two or more computing entities (e.g.,  20 - 1  and  20 - 2 ) to boost the viscosity for corresponding head units  10 - 1  and  10 - 2  when the head unit connector  112  connects head units  10 - 1  and  10 - 2  and both head units are controlling the motion of the object  12 - 1 . For instance, one of the head units informs the computing entity  22  that the object  12 - 1  is moving too quickly inward and the predicted stopping power of the expected viscosity versus shear rate of the STF  42  of the head unit, even when boosted, will not be enough to slow the object  12 - 1  to a desired velocity or position. When informed that one head unit, even with a modified viscosity, is not enough to control the object  12 - 1 , the control module  30  determines how many other head units (e.g., connected via the head unit connector  112 ) to apply and to dynamically modify the viscosity. 
     In yet another alternative embodiment, the computing entity  22  issues a series of system messages  162  to a set of computing entities associated with a corresponding set of head units to produce a cascading effect of altering of the viscosity of the STF  42  of each of the chambers  16  associated with the set of head units. For example, 3 head units are controlled by 3 corresponding computing entities to adjust viscosity in a time cascaded manner. For instance, head unit  10 - 1  abruptly changes the viscosity to attempt to slow the object  12 - 1  followed seconds later by head unit  10 - 2  abruptly changing the viscosity to attempt to further slow the object  12 - 1 , followed seconds later by head unit  12 - 3  abruptly changing the viscosity to attempt to further slow the object  12 - 1 . 
     In a still further alternative embodiment, the computing entity  22  conditionally issues each message of the series of system messages  162  to the set of computing entities associated with the corresponding set of head units to produce the cascading effect of altering of the viscosity of the STF  42  of each of the chambers  16  associated with the set of head units only when a most recent adaptation of viscosity is not enough to slow the object  12 - 1  with desired results. For example, the 3 head units are controlled by the 3 corresponding computing entities to adjust viscosity in a conditional time cascaded manner. For instance, head unit  10 - 1  abruptly changes the viscosity to attempt to slow the object  12 - 1  followed seconds later by head unit  10 - 2  abruptly changing the viscosity if head unit  10 - 1  was unsuccessful to attempt to further slow the object  12 - 1 , followed seconds later by head unit  12 - 3  abruptly changing the viscosity if head unit  10 - 2  was unsuccessful to attempt to further slow the object  12 - 1 . 
       FIG.  1 B  is a graph of viscosity vs. shear rate for an aspect of an embodiment of a mechanical and computing system that includes a chamber, a shear thickening fluid, and a piston that moves through the chamber applying forces on the shear thickening fluid. The shear thickening fluid includes a non-Newtonian fluid since the relationship between shear rate and viscosity is nonlinear. 
     A relationship between compressive impulse (e.g., shear rate) and the viscosity of the shear thickening fluid is nonlinear and may comprise one or more inflection points as the piston travels within the chamber in response to different magnitudes of forces and different accelerations. The viscosity of the STF may also be a function of other influences, such as electric fields, acoustical waves, magnetic fields, and other similar influences. As a first example of a response of a shear thickening fluid, a first range of shear rates in zone A has a decreasing viscosity as the shear rate increases and then in a second range of shear rates in zone B the viscosity increases abruptly. As a second example of a response of a diluted shear thickening fluid, the first range of shear rates in zone A extends to a higher level of shear rates with the decreasing viscosity and then in the still higher second range of shear rates in zone B the viscosity increases abruptly similar to that of the shear thickening include. 
     The shear thickening fluid includes particles within a solvent. Examples of particles of the shear thickening fluid include oxides, calcium carbonate, synthetically occurring minerals, naturally occurring minerals, polymers, or a mixture thereof. Further examples of the particles of the shear thickening fluid include SiO2, polystyrene, or polymethylmethacrylate. 
     The particles are suspended in a solvent. Example components of the solvent include water, a salt, a surfactant, and a polymer. Further example components of the solvent include ethylene glycol, polyethylene glycol, ethanol, silicon oils, phenyltrimethicone or a mixture thereof. Example particle diameters range from less than 100 μm to less than 1 millimeter. In an instance, the shear thickening fluid is made of silica particles suspended in polyethylene glycol at a volume fraction of approximately 0.57 with the silica particles having an average particle diameter of approximately 446 nm. As a result, the shear thickening fluid exhibits a shear thickening transition at a shear rate of approximately 102-103 s-1. 
     A volume fraction of particles dispersed within the solvent distinguishes the viscosity versus shear rate of different shear thickening fluids. The viscosity of the STF changes in response to the applied shear stress. At rest and under weak applied shear stress, a STF may have a fairly constant or even slightly decreasing viscosity because the random distribution of particles causes the particles to frequently collide. However, as a greater shear stress is applied so that the shear rate increases, the particles flow in a more streamlined manner. However, as an even greater shear stress is applied so that the shear rate increases further, a hydrodynamic coupling between the particles may overcome the interparticle forces responsible for Brownian motion. The particles may be driven closer together, and the microstructure of the colloidal dispersion may change, so that particles cluster together in hydroclusters. 
     The viscosity curve of the STF can be fine-tuned through changes in the characteristics of the particles suspended in the solvent. For example, the particles shape, surface chemistry, ionic strength, and size affect the various interparticle forces involved, as does the properties of the solvent. However, in general, hydrodynamic forces dominate at a high shear stress, which also makes the addition of a polymer attached to the particle surface effective in limiting clumping in hydroclusters. Various factors influence this clumping behavior, including, fluid slip, adsorbed ions, surfactants, polymers, surface roughness, graft density (e.g., of a grafted polymer), molecular weight, and solvent, so that the onset of shear thickening can be modified. In general, the onset of shear thickening can be slowed by the introduction of techniques to prevent the clumping of particles. For example, influencing the STF with emissions from an emitter in proximal location to the chamber. 
       FIG.  1 C  is a graph of piston velocity vs. force applied to the piston for an aspect of an embodiment of a mechanical and computing system that includes a chamber, a shear thickening fluid, and a piston that moves through the chamber applying forces on the shear thickening fluid. The shear thickening fluid includes a non-Newtonian fluid since the relationship between shear rate and viscosity is nonlinear. 
     An example curve for a shear thickening fluid indicates that as more force is applied to the piston in zone A, a higher piston velocity is realized until the corresponding transition to zone B occurs where the shear threshold affect takes hold and the viscosity abruptly increases significantly. When the viscosity increases abruptly, the piston velocity slows back down and may even stop. 
     Another example curve for a diluted shear thickening fluid indicates that as more force is applied to the piston in zone A, an even higher piston velocity is realized until the corresponding transition to zone B occurs where the shear threshold affect takes hold and the viscosity abruptly increases significantly. When the viscosity increases abruptly, the piston velocity slows back down and may even stop. 
       FIG.  2 A  is a schematic block diagram of an embodiment of the computing entity (e.g.,  20 - 1  through  20 -N; and  22 ) of the mechanical and computing system of  FIG.  1   . The computing entity includes one or more computing devices  100 - 1  through  100 -N. A computing device is any electronic device that communicates data, processes data, represents data (e.g., user interface) and/or stores data. 
     Computing devices include portable computing devices and fixed computing devices. Examples of portable computing devices include an embedded controller, a smart sensor, a social networking device, a gaming device, a smart phone, a laptop computer, a tablet computer, a video game controller, and/or any other portable device that includes a computing core. Examples of fixed computing devices includes a personal computer, a computer server, a cable set-top box, a fixed display device, an appliance, and industrial controller, a video game counsel, a home entertainment controller, a critical infrastructure controller, and/or any type of home, office or cloud computing equipment that includes a computing core. 
       FIG.  2 B  is a schematic block diagram of an embodiment of a computing device (e.g.,  100 - 1  through  100 -N) of the computing entity of  FIG.  2 A  that includes one or more computing cores  52 - 1  through  52 -N, a memory module  102 , a human interface module  18 , an environment sensor module  14 , and an input/output (I/O) module  104 . In alternative embodiments, the human interface module  18 , the environment sensor module  14 , the I/O module  104 , and the memory module  102  may be standalone (e.g., external to the computing device). An embodiment of the computing device is discussed in greater detail with reference to  FIG.  3   . 
       FIG.  3    is a schematic block diagram of another embodiment of the computing device  100 - 1  of the mechanical and computing system of  FIG.  1    that includes the human interface module  18 , the environment sensor module  14 , the computing core  52 - 1 , the memory module  102 , and the I/O module  104 . The human interface module  18  includes one or more visual output devices  74  (e.g., video graphics display, 3-D viewer, touchscreen, LED, etc.), one or more visual input devices  80  (e.g., a still image camera, a video camera, a 3-D video camera, photocell, etc.), and one or more audio output devices  78  (e.g., speaker(s), headphone jack, a motor, etc.). The human interface module  18  further includes one or more user input devices  76  (e.g., keypad, keyboard, touchscreen, voice to text, a push button, a microphone, a card reader, a door position switch, a biometric input device, etc.) and one or more motion output devices  106  (e.g., servos, motors, lifts, pumps, actuators, anything to get real-world objects to move). 
     The computing core  52 - 1  includes a video graphics module  54 , one or more processing modules  50 - 1  through  50 -N, a memory controller  56 , one or more main memories  58 - 1  through  58 -N (e.g., RAM), one or more input/output (I/O) device interface modules  62 , an input/output (I/O) controller  60 , and a peripheral interface  64 . A processing module is as defined at the end of the detailed description. 
     The memory module  102  includes a memory interface module  70  and one or more memory devices, including flash memory devices  92 , hard drive (HD) memory  94 , solid state (SS) memory  96 , and cloud memory  98 . The cloud memory  98  includes an on-line storage system and an on-line backup system. 
     The I/O module  104  includes a network interface module  72 , a peripheral device interface module  68 , and a universal serial bus (USB) interface module  66 . Each of the I/O device interface module  62 , the peripheral interface  64 , the memory interface module  70 , the network interface module  72 , the peripheral device interface module  68 , and the USB interface modules  66  includes a combination of hardware (e.g., connectors, wiring, etc.) and operational instructions stored on memory (e.g., driver software) that are executed by one or more of the processing modules  50 - 1  through  50 -N and/or a processing circuit within the particular module. 
     The I/O module  104  further includes one or more wireless location modems  84  (e.g., global positioning satellite (GPS), Wi-Fi, angle of arrival, time difference of arrival, signal strength, dedicated wireless location, etc.) and one or more wireless communication modems  86  (e.g., a cellular network transceiver, a wireless data network transceiver, a Wi-Fi transceiver, a Bluetooth transceiver, a 315 MHz transceiver, a zig bee transceiver, a 60 GHz transceiver, etc.). The I/O module  104  further includes a telco interface  108  (e.g., to interface to a public switched telephone network), a wired local area network (LAN)  88  (e.g., optical, electrical), and a wired wide area network (WAN)  90  (e.g., optical, electrical). The I/O module  104  further includes one or more peripheral devices (e.g., peripheral devices  1 -P) and one or more universal serial bus (USB) devices (USB devices  1 -U). In other embodiments, the computing device  100 - 1  may include more or less devices and modules than shown in this example embodiment. 
       FIG.  4    is a schematic block diagram of an embodiment of the environment sensor module  14  of the computing device of  FIG.  2 B  that includes a sensor interface module  120  to output environment sensor information  150  based on information communicated with a set of sensors. The set of sensors includes a visual sensor  122  (e.g., to the camera, 3-D camera, 360° view camera, a camera array, an optical spectrometer, etc.) and an audio sensor  124  (e.g., a microphone, a microphone array). The set of sensors further includes a motion sensor  126  (e.g., a solid-state Gyro, a vibration detector, a laser motion detector) and a position sensor  128  (e.g., a Hall effect sensor, an image detector, a GPS receiver, a radar system). 
     The set of sensors further includes a scanning sensor  130  (e.g., CAT scan, MRI, x-ray, ultrasound, radio scatter, particle detector, laser measure, further radar) and a temperature sensor  132  (e.g., thermometer, thermal coupler). The set of sensors further includes a humidity sensor  134  (resistance based, capacitance based) and an altitude sensor  136  (e.g., pressure based, GPS-based, laser-based). 
     The set of sensors further includes a biosensor  138  (e.g., enzyme, microbial) and a chemical sensor  140  (e.g., mass spectrometer, gas, polymer). The set of sensors further includes a magnetic sensor  142  (e.g., Hall effect, piezo electric, coil, magnetic tunnel junction) and any generic sensor  144  (e.g., including a hybrid combination of two or more of the other sensors). 
       FIGS.  5 A- 5 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects. The mechanical and computing system includes the head unit  10 - 1  of  FIG.  1   , the object  12 - 1  of  FIG.  1   , the environment sensor module  14  of  FIG.  2 B , and the computing entity  20 - 1  of  FIG.  1   . 
     In particular, the head unit  10 - 1  for controlling motion of the object  12 - 1  includes a chamber  16  filled at least in part with a shear thickening fluid (STF)  42 . The head unit  10 - 1  further includes a piston  36  housed at least partially radially within the chamber  16 . The piston  36  is configured to exert pressure against at ;east the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston  36  from the object  12 - 1 . 
     The movement of the piston  36  includes one of traveling through the piston compartment of the chamber in an inward direction or traveling through the piston compartment of the chamber in an outward direction. The piston travels toward the alternative reservoir and away from a front channel of the piston compartment when traveling in the inward direction. The piston travels toward the front channel and away from the alternative reservoir when traveling in the outward direction. 
     The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. The second range of shear rates are greater than the first range of shear rates. 
     The head unit  10 - 1  further includes a set of fluid flow sensors  116 - 1 - 1  and  116 - 1 - 2  positioned proximal to the chamber  16 . The set of fluid flow sensors provide a fluid response from the STF. 
     The head unit  10 - 1  further includes a set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  proximal to the chamber  16 . The set of fluid manipulation emitters provide a fluid activation to the one or more of the STF  42  and the ASTF  256  such that one of the first range of shear rates, the second range of shear rates, a modified first range of shear rates, or a modified second range of shear rates is selected for the one or more of STF and the ASTF within the piston compartment. 
     The fluid activation further includes controlling the reservoir injector. A mixture of the STF and the ASTF is configured to have a decreasing viscosity in response to the modified first range of shear rates and an increasing viscosity in response to the modified second range of shear rates. The modified second range of shear rates are greater than the modified first range of shear rates. 
     The chamber  16  further includes a variable partition  260  within the chamber between the piston and a closed-end of the chamber to dynamically affect volume of the chamber based on activation of the variable partition. The chamber includes a piston compartment and an alternative reservoir  250 . The piston compartment includes a back channel  24  on an inward side of the piston  36  and a front channel  26  on the outward side of the piston  36 . The alternative reservoir is filled at least in part with the alternative STF  256 . The alternative STF  256  (ASTF) is configured to have a decreasing viscosity in response to a third range of shear rates and an increasing viscosity in response to a fourth range of shear rates. The fourth range of shear rates are greater than the third range of shear rates. 
     The variable partition includes a reservoir injector  254 . The reservoir injector  254  the couples the piston compartment and the alternative reservoir controlling flow of the ASTF from the alternative reservoir to the piston compartment controlling the inflow of the alternative STF  256  from the alternative reservoir  250  to the piston compartment to mix with the STF. 
       FIG.  5 A  illustrates an example of operation of a method for the controlling the operational aspects. A first step of the example of operation includes the computing entity  20 - 1  interpreting environment sensor information  150  from a secondary object sensor to detect a pre-event of concern including with regards to a secondary object  12 - 2 . Examples of pre-events of concern include a temperature reaching a threshold temperature level, a pressure reaching a pressure threshold level, movement, sound identity of an associated object, a likely collision detection, a proximity detection, a drop detection, a gun muzzle flash, a seismic event, a cable break, a belt slippage, and unfavorable chain tension, etc. In an instance, the environment sensor module  14  includes the visual sensor  122  of  FIG.  4    and produces the environment sensor information  150  to include an image of a first vehicle that is about to collide with a second vehicle associated with the object  12 - 1 , where the object  12 - 1  includes a bumper on the second vehicle. 
     The interpreting the environment sensor information from the secondary object sensor to detect the pre-event of concern with regards to the secondary object includes a series of sub-steps. A first sub-step includes the computing entity  20 - 1  obtaining the environment sensor information  150  from the secondary object sensor (e.g., the environment sensor module  14 ) for a set of timeframes (e.g., every 10 ms). A second sub-step includes the computing entity  20 - 1  detecting the secondary object from the environment sensor information for the set of timeframes. For example, utilizing image pattern matching to identify the second vehicle. 
     A third sub-step includes the computing entity  20 - 1  determining a trajectory of the secondary object based on data of the environment sensor information for the set of timeframes pertaining to the secondary object. For example, the computing entity  20 - 1  interprets image information from the environment sensor information  150  to estimate positions of the second vehicle every 10 ms to produce the trajectory of the secondary object. 
     A fourth sub-step includes the computing entity  20 - 1  indicating the pre-event of concern for the secondary object when the trajectory of the secondary object suggests that a position of the secondary object for a future timeframe is expected to interfere with the object. For example, the computing entity  20 - 1  indicates the pre-event of concern to include a predicted collision between the second and first vehicles when the trajectory of the object  12 - 2  intersects with a trajectory of the object  12 - 1 . 
     Having detected the pre-event of concern, a second step of the example method of operation includes the computing entity  20 - 1  interpreting a fluid response from the set of fluid flow sensors to produce a piston velocity and a piston position of the piston associated with the head unit device. The interpreting the fluid response from the set of fluid flow sensors to produce the piston velocity and the piston position of the piston includes a series of sub-steps. A first sub-step includes the computing entity  20 - 1  inputting, from one or more fluid flow sensors of the set of fluid flow sensors, a set of fluid flow signals over a time range. For example, the computing entity  20 - 1  interprets fluid response  232 - 1 - 1  from fluid flow sensor  116 - 1 - 1  and fluid response  232 - 1 - 2  from fluid flow sensor  116 - 1 - 2  over the time range. 
     A second sub-step includes the computing entity  20 - 1  determining the fluid flow response of the set of fluid flow sensors based on the set of fluid flow signals. For example, interpreting the response based on metrics for the fluid for sensors. 
     A third sub-step includes the computing entity  20 - 1  determining the piston velocity based on the fluid flow response of the set of fluid flow sensors over the time range. For example, the computing entity  20 - 1  determines a derivative of multiple positions across the time range to produce the piston velocity. 
     A fourth sub-step includes the computing entity  20 - 1  determining the piston position based on the piston velocity and a real-time reference. For example, the computing entity  20 - 1  estimates multiple piston positions based on multiple piston velocities for the time range. 
     Alternatively, or in addition to, the computing entity  20 - 1  determines a shear force  186  based on the piston velocity  182  and piston position  184 . The determining the shear force based on the piston velocity and the piston position includes one approach of a variety of approaches. A first approach includes extracting the shear force directly from the fluid response when one or more sensors of the set of fluid flow sensors outputs a shear force encoded signal. For example, the computing entity  20 - 1  extracts the shear force  186  directly from the fluid responses  232 - 1 - 1  and  232 - 1 - 2 . In an instance, the shear force  186  reveals the piston velocity versus force applied to the piston curve as illustrated in  FIG.  5 A , where at a current time of interpreting the response, the force and piston velocity are at a point Xl. 
     A second approach includes determining the shear force utilizing the piston velocity and stored data for piston velocity verses shear force for the STF. For example, the computing entity  20 - 1  compares the velocity and position to stored data for instantaneous velocity and position verses shear force for the STF  42 . 
     A third approach includes determining the shear force utilizing the piston position and stored data for piston position verses shear force for the STF within the chamber. For example, the computing entity  20 - 1  compares the velocity and position to stored data for instantaneous velocity and position verses shear force for the STF  42 . 
       FIG.  5 B  further illustrates the example of operation, where having detected the pre-event of concern and produced the piston velocity and piston position, a third step includes the computing entity  20 - 1  determining the fluid activation  234  for the head unit device based on the pre-event of concern and one or more of the piston velocity and the piston position. The determining the fluid activation for the head unit device based on the pre-event of concern and one or more of the piston velocity and the piston position includes a variety of one or more approaches. 
     A first approach includes the computing entity  20 - 1  interpreting a request associated with modifying one or more of object velocity and object position. For instance, the computing entity  20 - 1  receives the request from another computing entity. 
     A second approach includes the computing entity  20 - 1  interpreting guidance from a chamber database. For example, the computing entity  20 - 1  identifies the guidance from the chamber database  34  of  FIG.  1 A . 
     A third approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the pre-event of concern includes a trajectory of the secondary object that indicates a collision between the secondary object the object is more likely than not. A fourth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the pre-event of concern includes the trajectory of the secondary object that indicates the collision between the secondary object the object is less likely when speeding up the object. 
     A fifth approach includes the computing entity  20 - 1  detecting an environmental condition warranting a change in viscosity of the STF. For example, identifying the potential collision between the first and second vehicles. As another example, identifying an icy road whereby the first vehicle is likely to impact a guard rail (e.g., the secondary object). 
     A sixth approach includes the computing entity  20 - 1  establishing the fluid activation to include activation of a variable partition to expand the volume of the chamber when establishing the desired response to include facilitating the first range of shear rates. The variable partition is positioned within the chamber between the piston compartment and the alternative reservoir. The variable partition is configured to dynamically affect volume of the chamber based on the activation of the variable partition. 
     A seventh approach includes the computing entity  20 - 1  establishing the fluid activation to include activation of the variable partition to contract the volume of the chamber when establishing the desired response to include facilitating the second range of shear rates. An eighth approach includes the computing entity  20 - 1  establishing the fluid activation to include the activation of the reservoir injector to cause the flow of the ASTF from the alternative reservoir to the piston compartment when establishing the desired response to include facilitating the modified first range of shear rates. The modified first range of shear rates is less than the first range of shear rates. 
     A ninth approach includes the computing entity  20 - 1  establishing the fluid activation to include the activation of the reservoir injector to cause the flow of the ASTF from the alternative reservoir to the piston compartment when establishing the desired response to include facilitating the modified second range of shear rates. The modified second range of shear rates is greater than the second range of shear rates. 
     Having determined the fluid activation, a fourth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters in accordance with the fluid activation to control the motion of the object with regards to the secondary object. The activating the set of fluid manipulation emitters in accordance with the fluid activation to control the motion of the object with regards to the secondary object includes one or more approaches. 
     A first approach includes outputting a variable partition activation  235  to the variable partition  260 . The variable partition is positioned within the chamber between the piston compartment and the alternative reservoir. The variable partition is configured to dynamically affect volume of the chamber based on the activation of the variable partition. The variable partition activation expands the volume of the chamber when the fluid activation for the STF includes facilitating the first range of shear rates. The variable partition activation contracts the volume of the chamber when fluid activation for the STF includes facilitating the second range of shear rates. For example, the computing entity  20 - 1  outputs the variable partition activation  235  to the variable partition  262  move the variable partition away from the piston to speed up the position by facilitating the first range of shear rates. 
     A second approach includes the computing entity  20 - 1  activating the reservoir injector  254  in accordance with the fluid activation for the one or more of the STF and the ASTF to adjust the flow of the ASTF from the alternative reservoir to the piston compartment to cause selection of one of the first range of shear rates, the second range of shear rates, the modified first range of shear rates, or the modified second range of shear rates for the one or more of STF and the ASTF within the piston compartment. For example, the computing entity  20 - 1  outputs a variable partition activation  235  to the reservoir injector  254  of the variable partition  260  to open the reservoir injector  254  to enable inflow of the alternative STF  256  into the back chamber  24 . 
     A third approach includes the computing entity  20 - 1  outputting fluid activation  234 - 1 - 1  and  234 - 1 - 2  to emitters  114 - 1 - 1  and  114 - 1 - 2  respectively to modify the viscosity of the STF  42  in accordance with the fluid activation. For example, when the emitters include vibration generator&#39;s, the fluid activation causes the emitters to admit a vibration in the piston chamber such that the nanoparticles of the STF  42  align thusly causing the viscosity to increase and hence slow down the piston and object  12 - 1  (e.g., brace for impact for the car collision). 
     Alternatively, or in addition to, the computing entity  20 - 1  further determines, via the fluid flow sensors, the piston velocity  182  and the piston position  184 , whether to apply a further activation of the variable partition approach to either further slow down the piston or to speed it up. When applying corrections, the actual response is slowed to a dead stop at a time X 2  as indicated in graph of  FIG.  5 B . 
     The method described above in conjunction with a processing module of any computing entity of the mechanical and computing system of  FIG.  1    can alternatively be performed by other modules of the system of  FIG.  1    or by other devices. In addition, at least one memory section that is non-transitory (e.g., a non-transitory computer readable storage medium, a non-transitory computer readable memory organized into a first memory element, a second memory element, a third memory element, a fourth element section, a fifth memory element, a sixth memory element, etc.) that stores operational instructions can, when executed by one or more processing modules of the one or more computing entities of the computing system  10 , cause one or more computing devices of the mechanical and computing system of  FIG.  1    to perform any or all of the method steps described above. 
       FIGS.  6 A- 6 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects. The mechanical and computing system includes the head unit  10 - 1  of  FIG.  1   , the object  12 - 1  of  FIG.  1   , and the computing entity  20 - 1  of  FIG.  1   . 
     In particular, the head unit  10 - 1  for controlling motion of the object  12 - 1  includes a chamber  16  filled at least in part with a shear thickening fluid (STF)  42 . The chamber includes a back channel  24  on an inward side of the piston  36  and a front channel  26  on the outward side of the piston  36 . The head unit  10 - 1  further includes a piston  36  housed at least partially radially within the chamber  16 . The piston  36  is configured to exert pressure against the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston  36  from the object  12 - 1 . 
     The movement of the piston  36  includes one of traveling through the chamber  16  in an inward direction and traveling through the chamber  16  in an outward direction. The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. 
     The piston  36  includes a first piston bypass  38 - 1  between opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the back channel  24  to the front channel  26  when the piston is traveling through the chamber in the inward direction to cause the STF to react with a first shear threshold effect. The piston  36  further includes a second piston bypass  38 - 2  between the opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the front channel  26  to the back channel  24  when the piston is traveling through the chamber in the outward direction to cause the STF to react with a second shear threshold effect; 
     The head unit  10 - 1  further includes a set of fluid flow sensors  116 - 1 - 1  and  116 - 1 - 2  positioned proximal to the chamber  16 . The set of fluid flow sensors provide a fluid response from the STF  42 . The head unit  10 - 1  further includes a set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  proximal to the chamber  16 . The set of fluid manipulation emitters provide a fluid activation to at least one of the STF  42 , the first piston bypass  38 - 1 , and the second piston bypass  38 - 2 . 
       FIG.  6 A  illustrates an example of operation of a method for the controlling the operational aspects. A first step of the example of operation includes the piston  36  moving inward towards the head unit  10 - 1  in response to a force from the object  12 - 1  through the plunger  28  to cause compression of the STF  42  in the back channel  24 . 
     A second step of the example method of operation includes the computing entity  20 - 1  interpreting a fluid flow response from the set of fluid flow sensors to produce a piston velocity  182 , a piston position  184 , and a shear force  186  as previously discussed and as illustrated at time Y 1  in the graph of  FIG.  6 A . Having produced the piston velocity, the piston position, and the sheer force, a third step of the example method of operation includes the computing entity  20 - 1  determining a fluid activation for the head unit device based on one or more of the piston velocity, the piston position, and the sheer force. The determining the fluid activation includes determining a desired response based on one or more of the piston velocity, the piston position, and the shear force. For example, the computing entity  20 - 1  determines to significantly increase the viscosity of the STF to affect a soft close of a door when the object  12 - 1  includes a door that is about to close too fast. 
     The determining the fluid activation further includes selecting a type of activation to utilize the fluid activation. Types of activation include directly affecting the viscosity and shear threshold effect of the STF by way of signals applied to the fluid manipulation emitters and controlling one of the first piston bypass  38 - 1  and second piston bypass  38 - 2  to increase or decrease shear force within the chamber which in turn affects viscosity of the STF. For example, the computing entity  20 - 1  selects further restricting the opening of the first piston bypass  38 - 1  to create more pressure in the back channel  24  to provide an actual response of force versus piston velocity as illustrated in the graph of  FIG.  6 A  at a time Y 2  when the door is to soft close. 
     Having determined the fluid activation, a fourth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  with the fluid activation  234 - 1 - 1  and  234 - 1 - 2  to manipulate the first shear threshold effect associated with the first piston bypass (e.g., to increase sheer force to move to the second range of shear rates such that the viscosity of the STF increases to slow down the door). 
       FIG.  6 B  further illustrates the example of operation of the method for the controlling the operational aspects. A fifth step of the example of operation includes the piston  36  moving outward away from the head unit  10 - 1  in response to a pulling force from the object  12 - 1  through the plunger  28  to cause compression of the STF  42  in the front channel  26 . 
     A sixth step of the example method of operation includes the computing entity  20 - 1  further interpreting a fluid flow response from the set of fluid flow sensors to produce the piston velocity  182 , the piston position  184 , and the shear force  186  as previously discussed and as illustrated at time Y 3  in the graph of  FIG.  6 A . 
     Having produced the piston velocity, the piston position, and the sheer force, a seventh step of the example method of operation includes the computing entity  20 - 1  determining the fluid activation for the head unit device based on one or more of the piston velocity, the piston position, and the shear force. The determining the fluid activation includes determining a desired response based on one or more of the piston velocity, the piston position, and the shear force. For example, the computing entity  20 - 1  determines to significantly increase the viscosity of the STF to affect a soft opening of the door when the object  12 - 1  includes the door that is about to open too fast and crush a backstop. 
     The determining the fluid activation further includes selecting the type of activation to utilize the fluid activation. For example, the computing entity  20 - 1  selects further restricting the opening of the second piston bypass  38 - 2  to create more pressure in the front channel  26  to provide an actual response of force versus piston velocity as illustrated in the graph of  FIG.  6 A  at a time Y 4  when the door is to soft open. 
     Having determined the fluid activation, an eighth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  with the fluid activation  234 - 1 - 1  and  234 - 1 - 2  to manipulate the second shear threshold effect associated with the second piston bypass  38 - 2  (e.g., to increase sheer force to move to the second range of shear rates such that the viscosity of the STF increases to slow down the door as it opens softly at an end of travel). 
     The method described above in conjunction with a processing module of any computing entity of the mechanical and computing system of  FIG.  1    can alternatively be performed by other modules of the system of  FIG.  1    or by other devices. In addition, at least one memory section that is non-transitory (e.g., a non-transitory computer readable storage medium, a non-transitory computer readable memory organized into a first memory element, a second memory element, a third memory element, a fourth element section, a fifth memory element, a sixth memory element, etc.) that stores operational instructions can, when executed by one or more processing modules of the one or more computing entities of the computing system  10 , cause one or more computing devices of the mechanical and computing system of  FIG.  1    to perform any or all of the method steps described above. 
       FIGS.  7 A- 7 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects. The mechanical and computing system includes the head unit  10 - 1  of  FIG.  1   , the object  12 - 1  of  FIG.  1   , and the computing entity  20 - 1  of  FIG.  1   . 
     In particular, the head unit  10 - 1  for controlling motion of the object  12 - 1  includes a chamber  16  to be filled at least in part with a shear thickening fluid (STF)  42 . The head unit  10 - 1  further includes a piston  36  housed at least partially radially within the chamber  16 . The piston  36  is configured to exert pressure against the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston  36  from the object  12 - 1 . 
     The movement of the piston  36  includes one of traveling through the chamber  16  in an inward direction and traveling through the chamber  16  in an outward direction. The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. The head unit  10 - 1  further includes a set of fluid flow sensors  116 - 1 - 1  and  116 - 1 - 2  positioned proximal to the chamber  16 . The set of fluid flow sensors provide a fluid response from the STF. 
     The head unit  10 - 1  further includes a set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  proximal to the chamber  16 . The set of fluid manipulation emitters provide a fluid activation to the STF  42 . 
     The chamber  16  further includes a STF partition  261  within the chamber between the piston and a closed-end of the chamber to dynamically affect volume of the chamber based on activation of the STF partition. The chamber includes a piston compartment and an alternative reservoir  250 . The piston compartment includes a back channel  24  on an inward side of the piston  36  and a front channel  26  on the outward side of the piston  36 . The alternative reservoir  250  is filled at least in part with a set of ingredients of the STF  42 . The ingredients include fluid and nanoparticles as previously discussed. 
     The STF partition includes a reservoir injector  254 . The reservoir injector  254  couples the alternative reservoir  250  to the piston compartment controlling the inflow of the one or more ingredients of the STF  42  from the alternative reservoir  250  to the piston compartment. 
       FIG.  7 A  illustrates an example of operation of a method for the controlling the operational aspects. A first step of the example of operation includes the computing entity  20 - 1  interpreting fluid response  232 - 1 - 1  from fluid flow sensor  116 - 1 - 1  and fluid response  232 - 1 - 2  from fluid flow sensor  116 - 1 - 2  to produce piston velocity  182  and piston position  184 . The interpreting the fluid response further includes the computing entity  20 - 1  determining a shear force  186  based on the piston velocity  182  and piston position  184  as previously discussed. In an instance, the shear force  186  reveals the piston velocity versus force applied to the piston curve as illustrated in  FIG.  7 A , where at a current time of interpreting the response, the force and piston velocity are at a point X 1 . 
     Having determined the piston velocity and piston position, a second step of the example method of operation includes the computing entity  20 - 1  determining required STF parameters  183  based on the piston velocity in the piston position of the piston. The STF parameters includes the first range of shear rates and the second range of shear rates. The determining the STF parameters  183  includes a variety of approaches. A first approach includes performing a lookup based on the current velocity and position. A second approach includes selecting one of the first range of shear rates and the second range of shear rates based on a desired position for the piston is a function of the current velocity and position. For example, the computing entity  20 - 1  selects the second range of shear rates when the piston is to be abruptly slowed down. As another example, the computing entity  20 - 1  selects the first range of shear rates when the piston may continue traveling as is. 
       FIG.  7 B  further illustrates the example of operation for the method for the controlling of the operational aspects where, having determined the required STF parameters, in a third step the computing entity  20 - 1  determines a STF formulation based on the required STF parameters. The STF formulation includes a formulation of the STF ingredients to produce the STF in accordance with the required STF parameters. The determining of the STF formulation includes a variety of approaches. A first approach includes performing a lookup. A second approach includes utilizing a formula that uses inputs including current velocity and position and a desired velocity and position within a given timeframe to produce the STF formulation. A third approach includes utilizing the STF  42  when the STF  42  is premixed within the alternative reservoir  250 . 
     Having produced the STF formulation, a fourth step of the example method of operation includes the computing entity  20 - 1  facilitating utilization of the STF formulation. For example, the computing entity  20 - 1  activates the reservoir injector  254  with and injector activation  237  based on the STF formulation to facilitate filling the back channel  24  of the chamber with the STF  42  to provide an actual response of force versus velocity as illustrated in the graph of  FIG.  7 B  at a time X 2 . Alternatively, or in addition to, the computing entity  20 - 1  issues fluid activation  234 - 1 - 1  and  234 - 1 - 2  to the fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  to affect the utilization of the first or second ranges of shear rates of the STF to adjust the speed and position of the object  12 - 1 . 
     The method described above in conjunction with a processing module of any computing entity of the mechanical and computing system of  FIG.  1    can alternatively be performed by other modules of the system of  FIG.  1    or by other devices. In addition, at least one memory section that is non-transitory (e.g., a non-transitory computer readable storage medium, a non-transitory computer readable memory organized into a first memory element, a second memory element, a third memory element, a fourth element section, a fifth memory element, a sixth memory element, etc.) that stores operational instructions can, when executed by one or more processing modules of the one or more computing entities of the computing system  10 , cause one or more computing devices of the mechanical and computing system of  FIG.  1    to perform any or all of the method steps described above. 
       FIGS.  8 A- 8 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects. The mechanical and computing system provides a head unit system that includes the head unit  10 - 1  of  FIG.  1   , the object  12 - 1  of  FIG.  1    (e.g., a door), a secondary object  12 - 2  (e.g., a person), a secondary object sensor (e.g., the environment sensor module  14  of  FIG.  2 B  to detect the person), and the computing entity  20 - 1  of  FIG.  1   . The secondary object sensor is associated with the object  12 - 1  (e.g., the person is within a few feet of the door). 
     In particular, the head unit  10 - 1  for controlling motion of the object  12 - 1  includes shear thickening fluid (STF)  42 . The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. The second range of shear rates are greater than the first range of shear rates. 
     The head unit  10 - 1  further include a chamber  16 . The chamber  16  is configured to contain a portion of the STF. The chamber includes a front channel  26  and a back channel  24 . 
     A piston  36  is housed at least partially radially within the chamber and separates the back channel  24  and the front  26 . The piston  36  is configured to exert pressure against the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston  36  from the object  12 - 1 . The movement of the piston includes one of traveling through the chamber in an inward direction or traveling through the chamber in an outward direction. The piston travels toward the back channel and away from the front channel when traveling in the inward direction. The piston travels toward the front channel and away from the back channel when traveling in the outward direction. 
     The piston  36  includes a first piston bypass  38 - 1  between opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the back channel to the front channel when the piston is traveling through the chamber in the inward direction to cause the STF to react with a first shear threshold effect. The piston  36  further includes a second piston bypass  38 - 2  between the opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the front channel to the back channel when the piston is traveling through the chamber in the outward direction to cause the STF to react with a second shear threshold effect. 
     The head unit  10 - 1  further includes a set of fluid flow sensors  116 - 1 - 1  and  116 - 1 - 2  positioned proximal to the chamber. The set of fluid flow sensors provide a fluid response  232 - 1 - 1  and  232 - 1 - 2  respectively from the STF. 
     The head unit  10 - 1  further includes a set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  positioned proximal to the chamber. The set of fluid manipulation emitters provide a fluid activation to at least one of the STF, the first piston bypass, and the second piston bypass to control the motion of the object  12 - 1  with regards to the secondary object  12 - 2 . 
       FIG.  8 A  illustrates an example of operation of a method for the controlling the operational aspects. A first step of the example of operation includes the piston  36  moving inward towards the head unit  10 - 1  in response to a force from the object  12 - 1  through the plunger  28  to cause compression of the STF  42  in the back channel  24 . 
     A second step of the example method of operation includes the computing entity  20 - 1  interpreting a fluid flow response from the set of fluid flow sensors to produce a piston velocity  182 , a piston position  184 , and a shear force  186  as previously discussed and as illustrated at time Y 1  in the graph of  FIG.  8 A . The interpreting the fluid response from the set of fluid flow sensors to produce the piston velocity and the piston position of the piston includes a series of sub-steps. A first sub-step includes inputting, from one or more fluid flow sensors of the set of fluid flow sensors, a set of fluid flow signals over a time range. For example, the computing entity  20 - 1  receives fluid responses  232 - 1 - 1  and  232 - 1 - 2  over the time range, where the fluid responses include the fluid flow signals. 
     A second sub-step includes determining the fluid flow response of the set of fluid flow sensors based on the set of fluid flow signals. For example, the computing entity  20 - 1  interprets the fluid flow signals to produce the fluid response. 
     A third sub-step includes determining the piston velocity based on the fluid response of the set of fluid flow sensors over the time range. For example, the computing entity  20 - 1  calculates piston velocity based on changes in the fluid response over the time range. 
     A fourth sub-step includes determining the piston position based on the piston velocity and a real-time reference. For example, the computing entity  20 - 1  calculates the piston position based on time in the piston velocity as the piston moves through the chamber. 
     As yet another example of interpreting the fluid response  232 - 1 - 1  and  232 - 1 - 2 , the computing entity  20 - 1  compares the fluid response  232 - 1 - 1  and  232 - 1 - 2  to previous measurements of fluid flow versus piston velocity and piston position to produce the piston velocity  182  and piston position  184 . As a still further example of the interpreting the fluid response  232 - 1 - 1  and  232 - 1 - 2 , the computing entity  20 - 1  extracts the piston velocity  182  and the piston position  184  directly from the fluid response  232 - 1 - 1  and/or  232 - 1 - 2  when the sensors  116 - 1 - 1  and  116 - 1 - 2  generate the piston velocity and piston position directly. 
     Having produced the piston velocity, the piston position, and the shear force, a third step of the example method of operation includes the computing entity  20 - 1  interpreting an output of the secondary object sensor to produce a position of the secondary object. The interpreting the output of the secondary object sensor to produce the position of the secondary object includes one or more sub-steps. A first sub-step includes interpreting environmental sensor information  150  to confirm that the secondary object  12 - 2  is proximal to the object  12 - 1 . For example, the computing entity  20 - 1  interprets environment sensor information  150  from the environment sensor module  14  to detect the object  12 - 2  (e.g., the person) within a common area associated with the object  12 - 1  (e.g., the door). 
     In an embodiment, the first sub-step further includes determining and identity of the secondary object  12 - 2 . For example, the computing entity  20 - 1  further interprets the environment sensor information  150  to identify the secondary object  12 - 2  as Bob rather than Sally. 
     A second sub-step includes determining a velocity vector for the secondary object based on environmental sensor information over an observation timeframe. For example, the computing entity  20 - 1  keeps track of position of the secondary object over a plurality of points in time to produce the velocity vector. 
     A third sub-step includes interpreting the velocity vector for the secondary object to produce the position of the secondary object. For example, the computing entity  20 - 1  integrates the velocity vector to produce the position of the secondary object. 
     Having detected the secondary object and produced the position of the secondary object, a fourth step of the example method of operation includes the computing entity determining a fluid activation for the head unit device based on one or more of identity of the secondary object (e.g., Bob versus Sally), the position of the secondary object, and one or more of the piston velocity, the piston position, and the shear force. The determining the fluid activation includes one or more of a variety of approaches. A first approach includes determining an object position for the object based on the piston velocity and the piston position. For example, the computing entity  20 - 1  maps piston position to object position based on a historical relationship (e.g., the object  12 - 1  and the piston  36  are operably coupled by the plunger  28 ). 
     A second approach includes interpreting a request associated with modifying one or more of object velocity and object position. For example, the computing entity  20 - 1  receives a request from another computing entity to speed up or slow down the door. 
     A third approach includes interpreting guidance from a chamber database. For example, the computing entity  20 - 1  interprets a desired fluid activation based on the identification of the secondary object  12 - 2 . For instance, the door is to open with a higher velocity for Bob versus Sally. 
     A fourth approach establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that a distance between the object and the secondary object is less than a minimum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving closer to the object. For example, the computing entity  20 - 1  facilitates speeding up the door opening when the person is too close to the door. 
     A fifth approach includes establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the distance between the object and the secondary object is greater than a maximum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving away from the object. For example, the computing entity  20 - 1  facilitates speeding up the door opening when the person is too far from the door. 
     A sixth approach includes establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the distance between the object and the secondary object is greater than the maximum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving closer to the object. For example, the computing entity  20 - 1  facilitates slowing down the door when the door is closing too fast on the person. 
     A seventh approach includes establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the distance between the object and the secondary object is less than the minimum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving away from the object. For example, the computing entity  20 - 1  facilitates slowing down the door when the door is opening too fast for the person. 
     A ninth approach includes establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that a velocity difference between the piston velocity and a velocity of the secondary object is greater than a maximum velocity difference threshold, the piston velocity is greater than the velocity of the secondary object, and the secondary object is moving towards the object. For example, the computing entity facilitates slowing down the door when the door is opening too fast ahead of the person. 
     A tenth approach includes establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is less than a minimum velocity difference threshold, the piston velocity is greater than the velocity of the secondary object, and the secondary object is moving away from the object. For example, the computing entity  20 - 1  facilitates slowing down the door when the door is moving too fast ahead of the person. 
     An eleventh approach includes establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is greater than the maximum velocity difference threshold, the piston velocity is less than the velocity of the secondary object, and the secondary object is moving towards the object. For example, the computing entity  20 - 1  facilitates speeding up the door when the door is too slow for the person. 
     A twelfth approach includes establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is less than the minimum velocity difference threshold, the piston velocity is less than the velocity of the secondary object, and the secondary object is moving away from the object. For example, the computing entity  20 - 1  facilitates speeding up the door when the door is too slow for the person. 
     A thirteenth approach includes detecting an environmental condition warranting a change in viscosity of the STF. For example, the computing entity  20 - 1  identifies the possibility of a collision between the person in the door based on the positions and velocities of the door and the person if a nominal response of the STF were allowed to proceed past the point Y 1  as illustrated in  FIG.  8 A . 
     The determining the fluid activation further includes selecting a type of activation to utilize the fluid activation as previously discussed. For example, the computing entity  20 - 1  selects further restricting an opening of the first piston bypass  38 - 1  to create more pressure in the back channel  24  to provide an actual response of force versus piston velocity as illustrated in the graph of  FIG.  8 A  at a time Y 2  when the door is to soft close slowly for the person as desired to avoid any collision. 
     Having determined the fluid activation, a fifth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  with the fluid activation  234 - 1 - 1  and  234 - 1 - 2  to manipulate the first shear threshold effect associated with the first piston bypass (e.g., to increase sheer force to move to the second range of shear rates such that the viscosity of the STF increases to slow down the door). Alternatively, as illustrated in  FIG.  8 B , the fluid manipulation emitters are activated to manipulate the second shear threshold effect associated with the second piston bypass to control the motion of the object with regards to the secondary object when the piston is moving in the outward direction. Alternatively, or in addition to, the head unit system further monitors the environment sensor module  14  to ensure that a collision does not happen between the object  12 - 2  and the object  12 - 1  (e.g., when a cart is being pushed through a door opening to prevent the door from hitting the cart). 
     The activating the set of fluid manipulation emitters in accordance with the fluid activation to manipulate one of the first shear threshold effect associated with the first piston bypass and the second shear threshold effect associated with the second piston bypass to control the motion of the object with regards to the secondary object includes two primary approaches. 
     When the piston is traveling through the chamber in the inward direction as illustrated in  FIG.  8 A , a first primary approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters to cause the first piston bypass  38 - 1  to facilitate the first shear threshold effect to include the first range of shear rates when the STF is to have the decreasing viscosity (e.g., speed up door opening or closing). Alternatively, the computing entity  20 - 1  issues the fluid activation to the set of fluid manipulation emitters to cause the first piston bypass  38 - 1  to facilitate the first shear threshold effect to include the second range of shear rates when the STF is to have the increasing viscosity (e.g., to slow down the door opening or closing). 
     When the piston is traveling through the chamber in the outward direction as illustrated in  FIG.  8 B , a second primary approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters to cause the second piston bypass  38 - 2  to facilitate the second shear threshold effect to include the first range of shear rates when the STF is to have the decreasing viscosity (e.g., speed up the door opening or closing). Alternatively, the computing entity  20 - 1  issues the fluid activation to the set of fluid manipulation emitters to cause the second piston bypass to facilitate the second shear threshold effect to include the second range of shear rates when the STF is to have the increasing viscosity (e.g., to slow down the door opening or closing). 
       FIG.  8 B  further illustrates the example of operation of the method for the controlling the operational aspects. A sixth step of the example method of operation includes the piston  36  moving outward away from the head unit  10 - 1  in response to a pulling force from the object  12 - 1  through the plunger  28  to cause compression of the STF  42  in the front channel  26  (e.g., opening of the door). 
     A seventh step of the example method of operation includes the computing entity  20 - 1  further interpreting a fluid flow response from the set of fluid flow sensors to produce the piston velocity  182 , the piston position  184 , and the shear force  186  as previously discussed and as illustrated at time Y 3  in the graph of  FIG.  8 B . 
     Having produced the piston velocity, the piston position, and the shear force, an eighth step of the example method of operation includes the computing entity  20 - 1  determining the fluid activation for the head unit device based an updated position for the object  12 - 2 , and based on one or more of the piston velocity, the piston position, and the shear force as previously discussed. The determining the fluid activation includes determining a desired response. For example, the computing entity  20 - 1  determines to significantly decrease the viscosity of the STF to affect a faster opening of the door when the object  12 - 1  includes the door that is about to open too slowly and collide with the object  12 - 2   
     The determining the fluid activation further includes selecting the type of activation to utilize the fluid activation. For example, the computing entity  20 - 1  selects further widening the opening of the second piston bypass  38 - 2  to create less pressure in the front channel  26  to provide an actual response of force versus piston velocity as illustrated in the graph of  FIG.  8 B  at a time Y 4  when the door should quickly open in avoid a collision with the object  12 - 2  (e.g., the person). 
     Having determined the fluid activation, a ninth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  with the fluid activation  234 - 1 - 1  and  234 - 1 - 2  to manipulate the second shear threshold effect associated with the second piston bypass  38 - 2  (e.g., to decrease shear force to move to the first range of shear rates such that the viscosity of the STF decreases to speed up the door as it opens ahead of the person). 
     The method described above in conjunction with a processing module of any computing entity of the mechanical and computing system of  FIG.  1    can alternatively be performed by other modules of the system of  FIG.  1    or by other devices. In addition, at least one memory section that is non-transitory (e.g., a non-transitory computer readable storage medium, a non-transitory computer readable memory organized into a first memory element, a second memory element, a third memory element, a fourth element section, a fifth memory element, a sixth memory element, etc.) that stores operational instructions can, when executed by one or more processing modules of the one or more computing entities of the computing system  10 , cause one or more computing devices of the mechanical and computing system of  FIG.  1    to perform any or all of the method steps described above. 
       FIGS.  9 A- 9 B  are schematic block diagrams of another embodiment of a mechanical and computing system illustrating an example of controlling operational aspects. The mechanical and computing system provides a head unit system that includes a plurality of head units including the head units  10 - 1  and  10 - 2  of  FIG.  1   , the object  12 - 1  (e.g., a first door), object  12 - 2  (e.g., a person), an object  12 - 3  (e.g., a second door) of  FIG.  1   , a set of secondary objects sensors including an environment sensor module  14 - 1  and an environment sensor module  14 - 2  (e.g., utilizing the environment sensor module  14  of  FIG.  2 B  to detect the person), and the computing entities  20 - 1  in  20 - 2  of  FIG.  1   . The secondary object sensors are associated with their respective head units to detect a common object  12 - 2  moving between areas associated with the object  12 - 1  in the object  12 - 2  (e.g., the person walking through the second door and then the towards the first door). 
     In particular, each head unit (e.g.,  10 - 1  and  10 - 2 ) for controlling motion of the objects (e.g.,  12 - 1  and  12 - 3 ) with regards to the secondary object includes a chamber  16  filled at least in part with a shear thickening fluid (STF)  42 . The chamber includes a back channel  24  on an inward side of the piston  36  and a front channel  26  on the outward side of the piston  36 . The head unit further includes a piston  36  housed at least partially radially within the chamber  16 . The piston  36  is configured to exert pressure against the shear thickening fluid  42  in response to movement of the piston  36  from a force applied to the piston  36  from the respective object. The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. 
     The movement of the piston  36  includes one of traveling through the chamber  16  in an inward direction and traveling through the chamber  16  in an outward direction. The piston travels toward the back channel and away from the front channel when traveling in the inward direction. The piston travels toward the front channel and away from the back channel when traveling in the outward direction. 
     The piston  36  includes at least one piston bypass (e.g., a first piston bypass  38 - 1  between opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the back channel  24  to the front channel  26  when the piston is traveling through the chamber in the inward direction to cause the STF to react with a first shear threshold effect). When including another piston bypass, the piston  36  further includes a second piston bypass  38 - 2  between the opposite sides of the piston that controls flow of the STF between the opposite sides of the piston from the front channel  26  to the back channel  24  when the piston is traveling through the chamber in the outward direction to cause the STF to react with a second shear threshold effect. 
     The head unit further includes a set of fluid flow sensors  116 - 1 - 1  and  116 - 1 - 2  positioned proximal to the chamber  16  of the head unit  10 - 1 . The set of fluid flow sensors provide a fluid response from the STF  42 . The head unit  10 - 1  further includes a set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  proximal to the chamber  16 . The set of fluid manipulation emitters provide a fluid activation to at least one of the STF  42 , the first piston bypass  38 - 1 , and the second piston bypass  38 - 2  to control motion of the object  12 - 1  with regards to the secondary object  12 - 2 . 
       FIG.  9 A  illustrates an example of operation of a method for the controlling the operational aspects. A first step of the example of operation includes the computing entity  20 - 1  interpreting a system message  162  from a second computing device (e.g., computing entity  20 - 2 ) to extract movement data for the secondary object  12 - 2 . The interpreting the system message from the second computing device to extract the movement data for the secondary object includes a series of sub-steps. 
     A first sub-step includes the computing entity  20 - 1  obtaining the system message  162  from the second computing device. The second computing device (e.g., computing entity  20 - 2  generates the system message  162  to include the movement data. The second computing device determines the movement data based on output (e.g., fluid response  232 - 2 - 1 ) of a secondary object sensor (e.g., sensor  116 - 2 - 1 ) associated with the second computing device. The set of secondary object sensors includes the secondary object sensor  14 - 2  associated with the second computing device. In an embodiment, the computing entity  20 - 1  interprets the fluid response  232 - 2 - 1  and environment sensor information  150 - 2  from the environment sensor module  14 - 22  issue a fluid activation  234 - 2 - 1  to emitter  114 - 2 - 1  of the head unit  10 - 2  to control the object  12 - 3  with regards to the secondary object  12 - 2  (e.g., opening the door before the person (e.g., object  12 - 2 ) walks up to the door (e.g., object  12 - 3 ). 
     The movement data includes one or more of the fluid activation with regards to the head unit  10 - 2 , a piston position and/or piston velocity associated with a piston of the head unit  10 - 2 , a shear force associated with an STF of the head unit  10 - 2 , position information with time frames for the object  12 - 2 , a trajectory of the object  12 - 2 , and any other data associated with information to reveal where the object  12 - 2  is, where it is going, and how fast is it moving. The movement data further includes an identifier associated with the object  12 - 2 , a type associated with the object  12 - 2 , and imagery associated with the object  12 - 2 . 
     A second sub-step includes the computing entity  20 - 1  detecting the secondary object from the system message. For example, the computing entity  20 - 1  interprets the imagery associated with the object  12 - 2  to identify the object  12 - 2  as the person (e.g., a specific secondary object). 
     A third sub-step includes the computing entity  20 - 1  determining a trajectory of the secondary object based on a data set of the system message pertaining to the secondary object. For example, the computing entity  20 - 1  interprets position information for the object  12 - 2  for a set of time frames to determine the trajectory. 
     A fourth sub-step includes the computing entity  20 - 1  indicating an association for the secondary object and the head unit when the trajectory of the secondary object suggests that a position of the secondary object for a future timeframe is expected to affiliate with the object. For example, the computing entity  20 - 1  determines that the object  12 - 2  is moving towards the object  12 - 1  based on the trajectory of the secondary object (e.g., the person is walking towards the first door). 
       FIG.  9 B  further illustrates the example method of operation where a second step includes the computing entity  20 - 1  interpreting a fluid response from a set of fluid flow sensors to produce a piston velocity  182  and a piston position  184  of the piston  36  associated with the head unit device  10 - 1  of the plurality of head unit devices of the head unit system. For example, the computing entity  20 - 1  interprets fluid response  232 - 1 - 1  from sensor  116 - 1 - 1  to produce the piston velocity  182 , the piston position  184 , and the shear force  186  as previously discussed. 
     Having produced the piston velocity and the piston position, a third step of the example method of operation includes the computing entity  20 - 1  determining the fluid activation  187  for the head unit device  10 - 1  based on the movement data of the secondary object and one or more of the piston velocity and the piston position. The determining the fluid activation for the head unit device based on the movement data of the secondary object and one or more of the piston velocity and the piston position includes one or more of a variety of approaches. 
     A first approach includes the computing entity  20 - 1  determining a position for the secondary object based the movement data of the secondary object. For example, the computing entity  20 - 1  extracts position information from the movement data of the system message  162 . 
     A second approach includes the computing entity  20 - 1  determining an object position for the object based on the piston velocity and the piston position. For example the computing entity  20 - 1  determines a position for the first door based on the piston position  184 ., 
     A third approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that a distance between the object and the secondary object is less than a minimum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving closer to the object. A fourth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the distance between the object and the secondary object is greater than a maximum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving away from the object. 
     A fifth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the distance between the object and the secondary object is greater than the maximum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving closer to the object. A sixth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the distance between the object and the secondary object is less than the minimum distance threshold based on the object position and the position of the secondary object and when the secondary object is moving away from the object. 
     A seventh approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that a velocity difference between the piston velocity and a velocity of the secondary object is greater than a maximum velocity difference threshold, the piston velocity is greater than the velocity of the secondary object, and the secondary object is moving towards the object. An eighth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the second range of shear rates to slow down the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is less than a minimum velocity difference threshold, the piston velocity is greater than the velocity of the secondary object, and the secondary object is moving away from the object. 
     A ninth approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is greater than the maximum velocity difference threshold, the piston velocity is less than the velocity of the secondary object, and the secondary object is moving towards the object. A tent approach includes the computing entity  20 - 1  establishing the fluid activation to include facilitating the first range of shear rates to speed up the object when detecting that the velocity difference between the piston velocity and the velocity of the secondary object is less than the minimum velocity difference threshold, the piston velocity is less than the velocity of the secondary object, and the secondary object is moving away from the object. 
     Alternatively, or in addition to, the computing entity  20 - 1  interprets an output of the secondary object sensor (e.g., environment sensor module  14 - 1 ) associated with the head unit  10 - 1  to update the movement data for the secondary object (e.g., object  12 - 2 ) to produce updated movement data for the secondary object. The set of secondary object sensors includes the secondary object sensor associated with the head unit. Having produced the updated movement data, the computing entity  20 - 1  updates the fluid activation  187  for the head unit device  10 - 1  based on the updated movement data for the secondary object and one or more of the piston velocity  182  and the piston position  184 . 
     Having produced the fluid activation, a fourth step of the example method of operation includes the computing entity  20 - 1  activating the set of fluid manipulation emitters in accordance with the fluid activation to manipulate one of the first shear threshold effect associated with the first piston bypass and the second shear threshold effect associated with the second piston bypass to control the motion of the object with regards to the secondary object. The activating the set of fluid manipulation emitters (e.g.,  234 - 1 - 1  and  234 - 1 - 2 ) in accordance with the fluid activation to manipulate one of the first shear threshold effect associated with the first piston bypass  38 - 1  and the second shear threshold effect associated with the second piston bypass  38 - 2  to control the motion of the object  12 - 1  with regards to the secondary object  12 - 2  includes a variety of approaches. 
     When the piston is traveling through the chamber in the inward direction, the first approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters  114 - 1 - 1  and  114 - 1 - 2  to cause the first piston bypass  38 - 1  to facilitate the first shear threshold effect to include the first range of shear rates when the STF  42  is to have the decreasing viscosity. For example, to speed up opening of the door  12 - 1  or  2  speed up the closing of the door  12 - 1  when the piston is moving inward. 
     A second approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters to cause the first piston bypass to facilitate the first shear threshold effect to include the second range of shear rates when the STF is to have the increasing viscosity. For example, to slow down the opening of the door  12 - 1  or to slow down the closing of the door  12 - 1  when the piston is moving inward. 
     When the piston is traveling through the chamber in the outward direction, a third approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters to cause the second piston bypass  38 - 2  to facilitate the second shear threshold effect to include the first range of shear rates when the STF is to have the decreasing viscosity. For example, to speed up the closing or opening of the door  12 - 1  when the piston is moving outward. 
     A fourth approach includes the computing entity  20 - 1  issuing the fluid activation to the set of fluid manipulation emitters to cause the second piston bypass to facilitate the second shear threshold effect to include the second range of shear rates when the STF is to have the increasing viscosity. For example, to slow down the closing or opening of the door  12 - 1  when the piston is moving outward. 
     Alternatively, or in addition to, the head unit system further monitors the environment sensor module  14 - 1  to ensure that a collision does not happen between the object  12 - 2  and the object  12 - 1  (e.g., when a cart is being pushed through a door opening to prevent the door from hitting the cart). 
     The method described above in conjunction with a processing module of any computing entity of the mechanical and computing system of  FIG.  1    can alternatively be performed by other modules of the system of  FIG.  1    or by other devices. In addition, at least one memory section that is non-transitory (e.g., a non-transitory computer readable storage medium, a non-transitory computer readable memory organized into a first memory element, a second memory element, a third memory element, a fourth element section, a fifth memory element, a sixth memory element, etc.) that stores operational instructions can, when executed by one or more processing modules of the one or more computing entities of the computing system  10 , cause one or more computing devices of the mechanical and computing system of  FIG.  1    to perform any or all of the method steps described above. 
     It is noted that terminologies as may be used herein such as bit stream, stream, signal sequence, etc. (or their equivalents) have been used interchangeably to describe digital information whose content corresponds to any of a number of desired types (e.g., data, video, speech, text, graphics, audio, etc. any of which may generally be referred to as ‘data’). 
     As may be used herein, the terms “substantially” and “approximately” provides an industry-accepted tolerance for its corresponding term and/or relativity between items. For some industries, an industry-accepted tolerance is less than one percent and, for other industries, the industry-accepted tolerance is  10  percent or more. Other examples of industry-accepted tolerance range from less than one percent to fifty percent. Industry-accepted tolerances correspond to, but are not limited to, component values, integrated circuit process variations, temperature variations, rise and fall times, thermal noise, dimensions, signaling errors, dropped packets, temperatures, pressures, material compositions, and/or performance metrics. Within an industry, tolerance variances of accepted tolerances may be more or less than a percentage level (e.g., dimension tolerance of less than +/−1%). Some relativity between items may range from a difference of less than a percentage level to a few percent. Other relativity between items may range from a difference of a few percent to magnitude of differences. 
     As may also be used herein, the term(s) “configured to”, “operably coupled to”, “coupled to”, and/or “coupling” includes direct coupling between items and/or indirect coupling between items via an intervening item (e.g., an item includes, but is not limited to, a component, an element, a circuit, and/or a module) where, for an example of indirect coupling, the intervening item does not modify the information of a signal but may adjust its current level, voltage level, and/or power level. As may further be used herein, inferred coupling (i.e., where one element is coupled to another element by inference) includes direct and indirect coupling between two items in the same manner as “coupled to”. 
     As may even further be used herein, the term “configured to”, “operable to”, “coupled to”, or “operably coupled to” indicates that an item includes one or more of power connections, input(s), output(s), etc., to perform, when activated, one or more its corresponding functions and may further include inferred coupling to one or more other items. As may still further be used herein, the term “associated with”, includes direct and/or indirect coupling of separate items and/or one item being embedded within another item. 
     As may be used herein, the term “compares favorably”, indicates that a comparison between two or more items, signals, etc., provides a desired relationship. For example, when the desired relationship is that signal  1  has a greater magnitude than signal  2 , a favorable comparison may be achieved when the magnitude of signal  1  is greater than that of signal  2  or when the magnitude of signal  2  is less than that of signal  1 . As may be used herein, the term “compares unfavorably”, indicates that a comparison between two or more items, signals, etc., fails to provide the desired relationship. 
     As may be used herein, one or more claims may include, in a specific form of this generic form, the phrase “at least one of a, b, and c” or of this generic form “at least one of a, b, or c”, with more or less elements than “a”, “b”, and “c”. In either phrasing, the phrases are to be interpreted identically. In particular, “at least one of a, b, and c” is equivalent to “at least one of a, b, or c” and shall mean a, b, and/or c. As an example, it means: “a” only, “b” only, “c” only, “a” and “b”, “a” and “c”, “b” and “c”, and/or “a”, “b”, and “c”. 
     As may also be used herein, the terms “processing module”, “processing circuit”, “processor”, “processing circuitry”, and/or “processing unit” may be a single processing device or a plurality of processing devices. Such a processing device may be a microprocessor, micro-controller, digital signal processor, microcomputer, central processing unit, field programmable gate array, programmable logic device, state machine, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on hard coding of the circuitry and/or operational instructions. The processing module, module, processing circuit, processing circuitry, and/or processing unit may be, or further include, memory and/or an integrated memory element, which may be a single memory device, a plurality of memory devices, and/or embedded circuitry of another processing module, module, processing circuit, processing circuitry, and/or processing unit. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. Note that if the processing module, module, processing circuit, processing circuitry, and/or processing unit includes more than one processing device, the processing devices may be centrally located (e.g., directly coupled together via a wired and/or wireless bus structure) or may be distributedly located (e.g., cloud computing via indirect coupling via a local area network and/or a wide area network). Further note that if the processing module, module, processing circuit, processing circuitry and/or processing unit implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory and/or memory element storing the corresponding operational instructions may be embedded within, or external to, the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry. Still further note that, the memory element may store, and the processing module, module, processing circuit, processing circuitry and/or processing unit executes, hard coded and/or operational instructions corresponding to at least some of the steps and/or functions illustrated in one or more of the Figures. Such a memory device or memory element can be included in an article of manufacture. 
     One or more embodiments have been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claims. Further, the boundaries of these functional building blocks have been arbitrarily defined for convenience of description. Alternate boundaries could be defined as long as the certain significant functions are appropriately performed. Similarly, flow diagram blocks may also have been arbitrarily defined herein to illustrate certain significant functionality. 
     To the extent used, the flow diagram block boundaries and sequence could have been defined otherwise and still perform the certain significant functionality. Such alternate definitions of both functional building blocks and flow diagram blocks and sequences are thus within the scope and spirit of the claims. One of average skill in the art will also recognize that the functional building blocks, and other illustrative blocks, modules, and components herein, can be implemented as illustrated or by discrete components, application specific integrated circuits, processors executing appropriate software and the like or any combination thereof. 
     In addition, a flow diagram may include a “start” and/or “continue” indication. The “start” and “continue” indications reflect that the steps presented can optionally be incorporated in or otherwise used in conjunction with one or more other routines. In addition, a flow diagram may include an “end” and/or “continue” indication. The “end” and/or “continue” indications reflect that the steps presented can end as described and shown or optionally be incorporated in or otherwise used in conjunction with one or more other routines. In this context, “start” indicates the beginning of the first step presented and may be preceded by other activities not specifically shown. Further, the “continue” indication reflects that the steps presented may be performed multiple times and/or may be succeeded by other activities not specifically shown. Further, while a flow diagram indicates a particular ordering of steps, other orderings are likewise possible provided that the principles of causality are maintained. 
     The one or more embodiments are used herein to illustrate one or more aspects, one or more features, one or more concepts, and/or one or more examples. A physical embodiment of an apparatus, an article of manufacture, a machine, and/or of a process may include one or more of the aspects, features, concepts, examples, etc. described with reference to one or more of the embodiments discussed herein. Further, from figure to figure, the embodiments may incorporate the same or similarly named functions, steps, modules, etc. that may use the same or different reference numbers and, as such, the functions, steps, modules, etc. may be the same or similar functions, steps, modules, etc. or different ones. 
     Unless specifically stated to the contra, signals to, from, and/or between elements in a figure of any of the figures presented herein may be analog or digital, continuous time or discrete time, and single-ended or differential. For instance, if a signal path is shown as a single-ended path, it also represents a differential signal path. Similarly, if a signal path is shown as a differential path, it also represents a single-ended signal path. While one or more particular architectures are described herein, other architectures can likewise be implemented that use one or more data buses not expressly shown, direct connectivity between elements, and/or indirect coupling between other elements as recognized by one of average skill in the art. 
     The term “module” is used in the description of one or more of the embodiments. A module implements one or more functions via a device such as a processor or other processing device or other hardware that may include or operate in association with a memory that stores operational instructions. A module may operate independently and/or in conjunction with software and/or firmware. As also used herein, a module may contain one or more sub-modules, each of which may be one or more modules. 
     As may further be used herein, a computer readable memory includes one or more memory elements. A memory element may be a separate memory device, multiple memory devices, or a set of memory locations within a memory device. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, a quantum register or other quantum memory and/or any other device that stores data in a non-transitory manner. Furthermore, the memory device may be in a form of a solid-state memory, a hard drive memory or other disk storage, cloud memory, thumb drive, server memory, computing device memory, and/or other non-transitory medium for storing data. The storage of data includes temporary storage (i.e., data is lost when power is removed from the memory element) and/or persistent storage (i.e., data is retained when power is removed from the memory element). As used herein, a transitory medium shall mean one or more of: (a) a wired or wireless medium for the transportation of data as a signal from one computing device to another computing device for temporary storage or persistent storage; (b) a wired or wireless medium for the transportation of data as a signal within a computing device from one element of the computing device to another element of the computing device for temporary storage or persistent storage; (c) a wired or wireless medium for the transportation of data as a signal from one computing device to another computing device for processing the data by the other computing device; and (d) a wired or wireless medium for the transportation of data as a signal within a computing device from one element of the computing device to another element of the computing device for processing the data by the other element of the computing device. As may be used herein, a non-transitory computer readable memory is substantially equivalent to a computer readable memory. A non-transitory computer readable memory can also be referred to as a non-transitory computer readable storage medium. 
     While particular combinations of various functions and features of the one or more embodiments have been expressly described herein, other combinations of these features and functions are likewise possible. The present disclosure is not limited by the particular examples disclosed herein and expressly incorporates these other combinations.