Paper Title
Remote Learning: Android Operated Educational Robot Arm With 6 DOF
Abstract
This paper addresses an intelligent optimal control for a flexible robot arm that is driven by a permanent-magnet
synchronous servo motor. An intelligent optimal control of robot arm with 5 axes with servo gripper is proposed by the
instructions given through Android device (android app on smart phone). This proposal was addressed to fourth-year
engineering students and combines knowledge from android java programming and robotic control to complete an
automation project task. The educational robotic arm initially learns to pick up a randomly placed target from a target
surface and move it to a predefined destination after which it repeats the contouring process under the presence of the target.
This paper presents an off-line trajectory generation algorithm and, therefore, it possesses significant industrial implications,
as no hardware changes are needed for its implementation. The proposed method has been experimented with Dexter ER-1
Robotic Arm for optimum project based learning.