Query: robot control arduino

title: Real Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG

title: Gesture Control Robot using Arduino
abstract: Copyright (c) 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal.  According to the World Federation of the Deaf, only 10 percent of the world's Deaf population receives any education, and only 3 percent receives this education in sign language. Another problem these deaf and face is inability to communicate with a person who does not understand the sign language. This project aims to reduce these problems by presenting a Sign Language. The project uses a hepatic glove to acquire signals corresponding to various hand gestures. The glove is interfaced with robot using an Arduino. Accelerometers are used to measure the angular displacement of human hand motion .The accelerometer controls the movement of the robot. Device is made of mainly two parts, one is RF transmitter and another is RF receiver. The RF transmitter will transmit the signal according to the position of accelerometer attached on your hand and the RF receiver will receive the signal and make the robot move in respective direction.

title: An Automated Robot Car Control System with Hand Gestures and Mobile Application Using Arduino
abstract: Gesture recognition has always been a technique to decrease the distance between the physical and the digital world. In this work, we introduce an Arduino based vehicle system which no longer require manual controlling of the cars. The proposed work is achieved by utilizing the Arduino microcontroller, accelerometer, RF sender/receiver, and Bluetooth. Two main contributions are presented in this work. Firstly, we show that the car can be controlled with hand gestures according to the movement and position of the hand. Secondly, the proposed car system is further extended to be controlled by an android based mobile application having different modes (e.g. touch buttons mode, voice recognition mode) In addition, an automatic obstacle detection system is introduced to improve the safety measurements to avoid any hazards. The proposed systems are designed at lab scale prototype to experimentally validate the efficiency, accuracy, and affordability of the systems. We remark that the proposed systems can be implemented under real conditions at large scale in the future that will be useful in automobiles and robotics applications.

title: Rancang Bangun Prototype Robot Pengantar Barang Cargo Berbasis Arduino Mega Dengan IOT
abstract: Cargo is the goods transported by ship, aircraft or other types of transportation. Cargo is divided into three types of transportation, namely, air, land and sea. Cargo service is a special service for transporting goods using aircraft. This service can be organized by a regular airline that serves passengers, but can also be carried out by a specialized airline freight company. With the development of industrial automation technology, robots are needed to help meet their needs quickly. With this developed robotics technology to help alleviate human work in the future. Goods delivery robot is a robot created to help work in delivering goods to aircraft cargo. This robot can stuff automatically. This goods transfer robot uses the Internet of Things method that is already connected to a smartphone remote control based on an android application. Writing program code using Arduino IDE 1.8.9 and using Android as a robot control. This robot uses 4 channel line tracker sensors, 2 DC motors and motor drivers as controllers, Arduino uno as the brain in this robot system. The results of this study produce a prototype robot that can deliver goods into aircraft cargo in airports.

title: Development of solar panel cleaning robot using Arduino
abstract: Solar power is mainly harnessed from photovoltaic (PV) panels which are arranged in multiple arrays in a solar farm or solar system. Though, power generation from PV solar system is characterised by uncertain efficiency, many countries with high insolation prefer solar as an alternative way of generating clean energy. However, the efficiency of energy generated from PV panels is affected by the accumulation of dust and debris, even on one panel in an array. This condition leads to the need for regular cleaning of the surface of PV panels. Current labour based cleaning methods for photovoltaic arrays are costly in time, water and energy usage as well as lacking in automation capabilities. To overcome this problem, a fully automatic solar panel cleaning system with/without water is proposed. Hence, in this paper, the design of a robot for automated cleaning of the surface of PV panel is presented. The design utilizes an Arduino controller system to control the robot movement during the cleaning process. In addition, it is equipped with two rough sponge and a water pump system that can be used to clean dust or debris found on PV panel surfaces. The efficiency of the PV panels before and after the cleaning process is also observed. The result shows that the developed solar panel cleaning robot is able to clean the panel effectively and increase back the output current as well as the maximum power of the panel by 50% after the dust on the PV panel is cleaned.

title: Design and implementation of robot control system for multistory buildings
abstract: The advancement of technology, make robots have more attention from researchers to make life of mankind comfortable. This paper deals with the design of an itemized control system prepared for window cleaning/maintenance of towers and multistory buildings which can be aided to simulating human activities. These activities (washing, coating, wiping, climbing, and maintenance events) normally achieved by specialized personal. The designed control system was prepared to guide the units of the required job to move freely along the outside surface of a window with a fairly enough area and mediate time for achieving the desired goal. The system design is implemented using Arduino kit, due to facilities in program and control of cleaning windows through infer the stepper motor movement and rotation. The controller has been achieved as real time system (30 msec. it is done throw control of three stepper motor by taken in consideration the speed of the motors (p/3000 rad/sec) and the time can be adjustable within the cleaning area that the device covering it.

title: A Wirelessly Controlled Robot based Smart Irrigation System by Exploiting Arduino
abstract: In recent years, because of the limitations of fossil fuels and emissions resulting from the use of photovoltaic cells increase. Due to the changing state of the sun, solar cells must follow the sun's radiation to receive more energy. But, in this research, the modeling and analysis of the solar tracking system were carried out to obtain the optimal angle in photovoltaic systems for generating maximum power using genetic algorithm (GA) In this paper, the control system is proposed by the GA genetic algorithm that optimizes the output energy of the PV system by adjusting the spatial angles of the solar panel in both vertical and horizontal axes. In this method, without the need for additional hardware, the optimal panel position angles are calculated by using the Matlab software to capture the most sun and maximize output energy. The main advantage is that the system operates discretely during operation and losses are reduced, as well as in the clouds, solar radiation is received and the output energy rises. The important results of this study can be the system is optimized, the output power of the photovoltaic system in a fixed array mode increases by 15.85%

title: Joint control of a robotic arm using particle swarm optimization based H2/H robust control on arduino
abstract: This paper proposes a small structure of robust controller to control robotic arm's joints where exist some uncertainties and unmodelled dynamics. Robotic arm is widely used now in the era of Industry 4.0. Nevertheless, the cost for an industry to migrate from a conventional automatic machine to industrial robot still very high. This become a significant challenge to middle or small size industry. Development of a low cost industrial robotic arm can be one of good solutions for them. However, a low cost manipulator can bring more uncertainties. There might be exist more unmodelled dynamic in a low cost system. A good controller to overcome such uncertainties and unmodelled dynamics is robust controller. A low cost robotic arm might use small or medium size embedded controller such as Arduino. Therefore, the control algorithm should be a small order of controller. The synthesized controller was tested using MATLAB and then implemented on the real hardware to control a robotic manipulator. Both the simulation and the experiment showed that the proposed controller performed satisfactory results. It can control the joint position to the desired position even in the presence of uncertainties such as unmodelled dynamics and variation of loads or manipulator poses.

title: Robot Control based on Steady State Visual Evoked Potential using Arduino and Emotiv Epoc

title: MODEL ROBOT TROLI OBJECT FOLLOWER MENGGUNAKAN PIXY CMUCAM5 BERBASIS ARDUINO UNO 328P
abstract: Object Follower Robot is a robot that can follow the object's motion where the object will walk will be followed. The control system uses a motor driver and two dynamos to run the robot based on the color of the object detected by the Pixy CMUCAM5 camera so that it can walk following the object. This system depends on hardware and software. The hardware uses the Arduino Uno 328P as the microcontroller, the ultrasonic sensor as a distance detector, the Pixy CMUCAM5 camera as the color detector of the object, and the HX711 weight sensor as a weighing counter for shopping. As well as software using color filtering to read colors rather than objects, the results issued from color filtering are what make the conversion as a robot control system. The results of the test are to identify how the robot can follow the object, how far the robot can follow the object, and how long the robot is able to walk if the robot is turned on continuously. So it can be seen the extent to which the ability of the robot can be used