The robotic arm of three-degree-of-freedom is frequently used in industries for pick and place, packaging labelling, etc. main reason using arms their effectiveness efficiency working a limited time. Robotic can also help remote areas or where access with high accuracy work. In this paper, modelling Simulation have been generated utilizing MATLAB Simulink, which among the most extensively stati...

In this paper, a task-space controller for electrically driven robot manipulators is developed using a robust control algorithm. The controller is designed using voltage control strategy. Based on the nominal model of the robotic arm, the desired signals for motor currents are calculated and then the voltage control law is proposed based on the current errors and motor nominal electrical model....

BACKGROUND Myoelectric prostheses currently used by amputees can be difficult to control. Machine learning, and in particular learned predictions about user intent, could help to reduce the time and cognitive load required by amputees while operating their prosthetic device. OBJECTIVES The goal of this study was to compare two switching-based methods of controlling a myoelectric arm: non-adap...

Adaptive and Fault Tolerant Tracking Control of a Pneumatic Actuator p. 49 Experimental Verification of Human Skill Transfer to Deburring Robots p. 61 Learning of Robotic Assembly Based on Force Information p. 78 Model Based Implementation of a Manipulation System with Artificial Skills p. 89 A Learning Control System for an Articulated Gripper p. 99 Implementation of Behavioral Control on a Ro...