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From reflex to planning: Multimodal versatile complex systems in biorobotics

Published online by Cambridge University Press:  17 December 2002

Jean-Paul Banquet ,
Philippe Gaussier ,
Mathias Quoy  and
Arnaud Revel
Jean-Paul Banquet
Affiliation:
Neuroscience et Modélisation, INSERM 483, Université Pierre et Marie Curie, 75252 Paris Cedex 5, Francebanquet@ccr.jussieu.fr
Philippe Gaussier
Affiliation:
Neurocybernetics Group, ETIS Lab, Université de Cergy-Pontoise, Cergy-Pontoise, 95014, Francegaussier@ensea.frquoy@ensea.frrevel@ensea.fr http://www-etis.ensea.fr/~neurocyber
Mathias Quoy
Affiliation:
Neurocybernetics Group, ETIS Lab, Université de Cergy-Pontoise, Cergy-Pontoise, 95014, Francegaussier@ensea.frquoy@ensea.frrevel@ensea.fr http://www-etis.ensea.fr/~neurocyber
Arnaud Revel
Affiliation:
Neurocybernetics Group, ETIS Lab, Université de Cergy-Pontoise, Cergy-Pontoise, 95014, Francegaussier@ensea.frquoy@ensea.frrevel@ensea.fr http://www-etis.ensea.fr/~neurocyber
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Abstract

As models of living beings acting in a real world biorobots undergo an accelerated “philogenic” complexification. The first efficient robots performed simple animal behaviours (e.g., those of ants, crickets) and later on isolated elementary behaviours of complex beings. The increasing complexity of the tasks robots are dedicated to is matched by an increasing complexity and versatility of the architectures now supporting conditioning or even elementary planning.

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 24 , Issue 6 , December 2001 , pp. 1051 - 1053
Copyright
© 2001 Cambridge University Press

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