Home /Research /Learning control of elastic joint robot and its application to the industrial robot manipulator
MANIPULATION

Learning control of elastic joint robot and its application to the industrial robot manipulator

Masayoshi Wada, T. Tsukahara, K. Tsuda

Year
2002
Citations
8

Abstract

Learning control, a methodology for obtaining a reference input pattern that enables an actual output of a robot manipulator to coincide with a desired one, is modified and applied to a manipulator with an elastic-joint robot. This type of learning control is suitable for actual industrial robot control systems that have independent feedback controllers with each joint. Learning control has been implemented for a single-link elastic-joint robot. Improved high-speed motion has been achieved. Experiments on an industrial manipulator show that the problem of vibration encountered in high-speed motion is mitigated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

RobotIndustrial robotRobot controlComputer scienceMotion controlControl theory (sociology)Joint (building)Control engineeringManipulator (device)Artificial intelligence

Related papers

Browse all MANIPULATION papers