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Proceedings Paper

Adaptation In Biological Sensory-Motor Systems: A Model For Robotic Control.
Author(s): Amitabha Mukerjee
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Paper Abstract

Biological sensory-motor systems have an extraordinary facility for adaptation. The accurate behavior demonstrated by such systems even under severe informational discrepancy has generated theories proposing altered internal models as the basis for such adaptation. Here we propose a similar perturbed parameter scheme for the low-level control of robotic manipulators. Thus, the dynamic and kinematic parameters in any suitable theoretical model can be perturbed from their true values in order to achieve enhanced performance in the vicinity of a given trajectory. Critical issues in this approach involve selection of parameters for identification and the estimation technique itself. A new approach is also highlighted which permits the self-calibration of the link inertias while executing any desired trajectory.

Paper Details

Date Published: 17 January 1985
PDF: 5 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946187
Show Author Affiliations
Amitabha Mukerjee, University of Rochester (United States)

Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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