Automatic Learning Rate Adjustment for Self-Supervising Autonomous Robot Control

Abstract

Described is an application in which an Artificial Neural Network (ANN) controls the positioning of a robot arm with five degrees of freedom by using visual feedback provided by two cameras. This apphcation and the specific ANN model, local linear maps, are based on the work of Ritter, Martinetz, and Schuhen. We extended their approach by generating a… (More)

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Cite this paper

@inproceedings{Arras1992AutomaticLR, title={Automatic Learning Rate Adjustment for Self-Supervising Autonomous Robot Control}, author={Michael K. Arras and Peter Pretzel and Daniel L. Palumbo and Daniel L. Palurnbo}, year={1992} }