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Proceedings Paper

Adaptive leg coordination with a biologically inspired neurocontroller
Author(s): Grant Braught; Stelios C.A. Thomopoulos
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Paper Abstract

Natural selection is responsible for the creation of robust and adaptive control systems. Nature's control systems are created only from primitive building blocks. Using insect neurophysiology as a guide, a neural architecture for leg coordination in a hexapod robot has been developed. Reflex chains and sensory feedback mechanisms from various insects and crustacea form the basis of a pattern generator for intra-leg coordination. The pattern generator contains neural oscillators which learn from sensory feedback to produce stepping patterns. Using sensory feedback as the source of learning information allows the pattern generator to adapt to changes in the leg dynamics due to internal or external causes. A coupling between six of the single leg pattern generators is used to produce the inter-leg coordination necessary to establish stable gaits.

Paper Details

Date Published: 30 October 1996
PDF: 12 pages
Proc. SPIE 2905, Sensor Fusion and Distributed Robotic Agents, (30 October 1996); doi: 10.1117/12.256335
Show Author Affiliations
Grant Braught, INTELNET Inc. (United States)
Stelios C.A. Thomopoulos, INTELNET Inc. (United States)


Published in SPIE Proceedings Vol. 2905:
Sensor Fusion and Distributed Robotic Agents
Paul S. Schenker; Gerard T. McKee, Editor(s)

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