Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)
Michael Quinlan, Stephan Chalup, Richard Middleton
This article addresses the issues of colour classiﬁcation and collision de- tection as they occur in the legged league robot soccer environment of RoboCup. We show how the method of one-class classiﬁcation with sup- port vector machines (SVMs) can be applied to solve these tasks satisfac- torily using the limited hardware capacity of the prescribed Sony AIBO quadruped robots. The experimental evaluation shows an improvement over our previous methods of ellipse ﬁtting for colour classiﬁcation and the statistical approach used for collision detection.