Techniques for improving vision and locomotion on the Sony AIBO robot | NOVA. The University of Newcastle's Digital Repository

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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

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