Document Detail


Insect walking and robotics.
MedLine Citation:
PMID:  14651456     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
With the advent of significant collaborations between researchers who study insect walking and robotics engineers interested in constructing adaptive legged robots, insect walking is once again poised to make a more significant scientific contribution than the numbers of participants in the field might suggest. This review outlines current knowledge of the physiological basis of insect walking with an emphasis on recent new developments in biomechanics and genetic dissection of behavior, and the impact this knowledge is having on robotics. Engineers have begun to team with neurobiologists to build walking robots whose physical design and functional control are based on insect biology. Such an approach may have benefits for engineering, by leading to the construction of better-performing robots, and for biology, by allowing real-time and real-world tests of critical hypotheses about how locomotor control is effected. It is argued that in order for the new field of biorobotics to have significant influence it must adopt criteria for performance and an experimental approach to the development of walking robots.
Authors:
Fred Delcomyn
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Review    
Journal Detail:
Title:  Annual review of entomology     Volume:  49     ISSN:  0066-4170     ISO Abbreviation:  Annu. Rev. Entomol.     Publication Date:  2004  
Date Detail:
Created Date:  2003-12-03     Completed Date:  2004-04-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0372367     Medline TA:  Annu Rev Entomol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  51-70     Citation Subset:  IM    
Affiliation:
Department of Entomology, University of Illinois, Urbana, Illinois 61801, USA. delcomyn@life.uiuc.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Biomechanics
Insects / physiology*
Locomotion / physiology*
Models, Biological
Neurosciences / methods
Robotics*

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


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