Application of SVMs for Colour Classification and Collision Detection with AIBO Robots
Abstract
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.
Cite
Text
Quinlan et al. "Application of SVMs for Colour Classification and Collision Detection with AIBO Robots." Neural Information Processing Systems, 2003.Markdown
[Quinlan et al. "Application of SVMs for Colour Classification and Collision Detection with AIBO Robots." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/quinlan2003neurips-application/)BibTeX
@inproceedings{quinlan2003neurips-application,
title = {{Application of SVMs for Colour Classification and Collision Detection with AIBO Robots}},
author = {Quinlan, Michael J. and Chalup, Stephan K. and Middleton, Richard H.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {635-642},
url = {https://mlanthology.org/neurips/2003/quinlan2003neurips-application/}
}