Force control of robotic manipulator by neural network. Experimental results and their evaluation of one degree-of-freedom manipulator.

Abstract

In this paper, a force control of a robotic manipulator based on a neural network model is proposed with consideration of the dynamics of both the force sensor and objects. This proposed system consists of the standard PID controller, the gains of which are augmented and adjusted depending on objects through a process of learning.