Reference number : GC-2017-Q1-02863, amendment number : , agreement type : G, recipient legal name : Raji Kermani, Mehrdad (The University of Western Ontario), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Robots have become an integral part of modern industrial automation and it is hard to imagine an automated plan without a robot. Yet, the application of robots is limited to a very narrow scope of well-defined and pre-planned tasks. In fact, when it comes to manipulating ordinary objects, robots fall short of the expectations. In contrast, humans have exceptional ability to manipulate objects. They acquire this ability through a long process of adaptation; 2 years to grasp things, 5 years to use a spoon, and 10 years to use a toothbrush. This process allows humans to coordinate the movements of the arm and the hand as one unit. In addition, human&rsquo;s motor-control system is extremely forgiving allowing to alter the stiffness of the hand (the reaction forces to external disturbances) swiftly to match a task&rsquo;s requirements. The long term vision of this research is to develop new and innovative solutions for object manipulation to enable robots perform tasks with human-like dexterity. This vision is enabled through a series of short-term efforts to address various aspects of object manipulation. The first short-term goal is to develop a general framework for unified control of the robot arm and the robot hand (grasp problem) as a combined optimization problem. Unlike humans, in robotics, these two problems are traditionally treated as two separate problems with sub-optimal and often unfeasible solutions. The second short-term goal is to exploit compliant actuations (a new class of actuators that couples to a load using a non-rigid element) to provide robots with similar capabilities as human muscle actuations for modulating stiffness. The modulation of the actuator compliance with minimal sensing needs and computation time enables a robot to have similar performance as a biological hand while providing the strength and durability required in industrial applications. The third short-term goal focuses on further enhancing the state of the art in compliant actuation using new forms of &ldquo;smart&rdquo; materials and new control approaches.
 
Human-like dexterous manipulation has been identified in recent robotic roadmaps as one of the most critical capabilities of future robots. The proposed research program will have profound impacts in the field of robotics as it merges the assets of the human hand with the assets of robotic systems to provide a pragmatic solution to the sought-after problem of dexterous manipulation. Providing robots with such a capability opens up many new possibilities and multiply the application of these systems in various robotic fields including advanced manufacturing, agricultural robotics, rehabilitation robotics, human-robot collaboration and many more., program purpose french : Robots have become an integral part of modern industrial automation and it is hard to imagine an automated plan without a robot. Yet, the application of robots is limited to a very narrow scope of well-defined and pre-planned tasks. In fact, when it comes to manipulating ordinary objects, robots fall short of the expectations. In contrast, humans have exceptional ability to manipulate objects. They acquire this ability through a long process of adaptation; 2 years to grasp things, 5 years to use a spoon, and 10 years to use a toothbrush. This process allows humans to coordinate the movements of the arm and the hand as one unit. In addition, human&rsquo;s motor-control system is extremely forgiving allowing to alter the stiffness of the hand (the reaction forces to external disturbances) swiftly to match a task&rsquo;s requirements. The long term vision of this research is to develop new and innovative solutions for object manipulation to enable robots perform tasks with human-like dexterity. This vision is enabled through a series of short-term efforts to address various aspects of object manipulation. The first short-term goal is to develop a general framework for unified control of the robot arm and the robot hand (grasp problem) as a combined optimization problem. Unlike humans, in robotics, these two problems are traditionally treated as two separate problems with sub-optimal and often unfeasible solutions. The second short-term goal is to exploit compliant actuations (a new class of actuators that couples to a load using a non-rigid element) to provide robots with similar capabilities as human muscle actuations for modulating stiffness. The modulation of the actuator compliance with minimal sensing needs and computation time enables a robot to have similar performance as a biological hand while providing the strength and durability required in industrial applications. The third short-term goal focuses on further enhancing the state of the art in compliant actuation using new forms of &ldquo;smart&rdquo; materials and new control approaches.
 
Human-like dexterous manipulation has been identified in recent robotic roadmaps as one of the most critical capabilities of future robots. The proposed research program will have profound impacts in the field of robotics as it merges the assets of the human hand with the assets of robotic systems to provide a pragmatic solution to the sought-after problem of dexterous manipulation. Providing robots with such a capability opens up many new possibilities and multiply the application of these systems in various robotic fields including advanced manufacturing, agricultural robotics, rehabilitation robotics, human-robot collaboration and many more., agreement title english : Human-Like Dexterous Manipulation using Compliant Actuations, agreement title french : Human-Like Dexterous Manipulation using Compliant Actuations, agreement number : RGPIN, agreement value : 24000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada