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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/915933

Title
Techniques for improving vision and locomotion on the Sony AIBO robot
Author/Creator
Quinlan, Michael J.;  Chalup, Stephan K.;  Middleton, Richard H.
Description
The restricted setting and uniformly prescribed hardware of the Sony Legged League of RoboCup provide an environment for testing algorithms on autonomous robots with a view towards possible applications in real world situations. In this study we show how two techniques - Support Vector Machines and Hill Climbing - can be applied to problems faced by the robots in this league. We use Support Vector Machines to perform collision detection and also to assist the process of color classification, while a Hill Climbing algorithm is employed to improve straight line walking speed through walk parameter optimisation.
Relation
Australasian Conference on Robotics and Automation 2003 (ACRA 2003). Proceedings of the 2003 Australasian Conference on Robotics & Automation (Brisbane, Qld 1-3 December, 2003)
Relation
http://www.araa.asn.au/acra/acra2003/contents.html
Date
2003
Publisher
Australian Robotics & Automation Association
Keyword(s)
AIBO;  RoboCup;  robotics;  collision detection;  color classification;  walking parameters
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/915933
Identifier
ISBN:0958758352
Language
eng
Reviewed
Reviewed
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Subject
"Techniques for improving vision and locomotion on the Sony AIBO robot"
 
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