Integration of a robust trajectory planner with a feedforward neural controller for robotic manipulators

Abstract

This paper deals with the integration of a real-time trajectory planner and neural network (CMAC) based controller with on-line learning for robotic manipulators in the presence of obstacles. The effectiveness of the integrated system is verified by simulations for the first two links of the Adept-One robot.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>