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Robust position/force control of multiple robots using neural networks

✍ Scribed by J.M. Tao; J.Y.S. Luh

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
825 KB
Volume
21
Category
Article
ISSN
0895-7177

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## Abstract In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an __error minimizing dead‐zone__ in the learning