Document Detail

Developmental robotics: manifesto and application.
MedLine Citation:
PMID:  14599315     Owner:  NLM     Status:  MEDLINE    
We argue that all embodied organisms, whether robots or animals, face the same challenge: of adapting to bodies, brains and environments that undergo constant and inevitable change. After highlighting the evidence for the universal role of a class of molecular factors called neurotrophic factors in the response of animals to this challenge, we suggest that implementing models of neurotrophic interactions on robots may confer on them the adaptability and robustness exhibited by animals. We briefly review a mathematical model of neurotrophic interactions and then discuss its application in a robotic context. Finally, we examine the potential, or otherwise, of our approach to developmental robotics.
Terry Elliott; Nigel R Shadbolt
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  361     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-11-05     Completed Date:  2004-01-14     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  2187-206     Citation Subset:  IM    
Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK.
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MeSH Terms
Adaptation, Physiological / physiology
Equipment Design
Models, Neurological*
Neural Networks (Computer)*
Neuronal Plasticity / physiology*
Neurons / physiology*
Pattern Recognition, Automated*
Robotics / instrumentation*,  methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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