Wireless Remote Control of Robot Dual Arms and Hands Using Inertial Measurement Units for Learning from Demonstration

This paper proposes real time wireless remote control of robot dual arms and hands using IMUs (Inertial measurement unit). The remote control system is developed for robots to learn various complex tasks from operator’s demonstration. The control system helps robots to make human-like motion planning directly through operator’s demonstration rather than the RRT (Rapidly-Exploring Random Tree) algorithm or the vector field method. To demonstrate the effectiveness of the developed system, experiments are carried out for real time wireless remote control of robot dual arms and hands. The experiment results show that the remote control system operates well enough to teach a robot various human-like complex tasks.