DocumentCode :
1310918
Title :
Bioinspired Visuomotor Convergence
Author :
Humbert, James Sean ; Hyslop, Andrew Maxwell
Author_Institution :
Dept. of Aerosp. Eng., Univ. of Maryland, College Park, MD, USA
Volume :
26
Issue :
1
fYear :
2010
Firstpage :
121
Lastpage :
130
Abstract :
In this paper, wide-field integration methods, which are inspired by the spatial decompositions of wide-field patterns of optic flow in the insect visuomotor system, are explored as an efficient means to extract visual cues for guidance and navigation. A control-theoretic framework is developed and used to quantitatively link weighting functions to behaviorally-relevant interpretations such as relative orientation, position, and speed in a corridor environment. It is shown through analysis and demonstration on a ground vehicle that the proposed sensorimotor architecture gives rise to navigational heuristics, namely, centering and speed regulation, which are observed in natural systems.
Keywords :
robot vision; velocity control; bioinspired visuomotor convergence; centering; insect visuomotor system; optic flow; relative orientation; relative position; relative speed; sensorimotor architecture; spatial decompositions; speed regulation; visual cues extraction; Autonomous navigation; biologically inspired robots;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2009.2033330
Filename :
5325584
Link To Document :
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