Title :
Neural network control of robot manipulators
Author_Institution :
Autom. & Robotics Res. Inst., Texas Univ., Arlington, TX, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
The author describes neural network controllers for robot manipulators in a variety of applications, including position control, force control, parallel-link mechanisms, and digital neural network control. These “model-free” controllers offer a powerful and robust alternative to adaptive control
Keywords :
feedforward neural nets; force control; intelligent control; manipulators; multilayer perceptrons; neurocontrollers; position control; digital neural network control; force control; model-free controllers; neural network control; neural network controllers; parallel-link mechanisms; position control; robot manipulators; Adaptive control; Control systems; Feedforward neural networks; Manipulators; Multi-layer neural network; Neural networks; Robot control; Robust control; Signal processing algorithms; Stability;
Journal_Title :
IEEE Expert
