- Title
- Machine learning in the four-legged league
- Creator
- Chalup, Stephan K.; Murch, Craig L.
- Relation
- 3rd IFAC Symposium on Mechatronic Systems. 3rd IFAC Symposium on Mechatronic Systems (Sydney ) p. 781-786
- Publisher Link
- http://dx.doi.org/10.1016/S1474-6670(17)31189-8/
- Publisher
- Elsevier
- Resource Type
- conference paper
- Date
- 2004
- Description
- The aim of this work is to contribute some insights and a partial overview of how machine learning methods are used in robotics. We first discuss typical general issues in the relationship between robotics and machine learning. Then we focus on projects associated with the RoboCup competition and symposium, and review the extent to which machine learning approaches have been used in the 4-legged league at RoboCup during the years 1998–2003. Further, we summarise the machine learning methods that were used by our own RoboCup team—the NUbots—in 2002/2003.
- Subject
- autonomous mobile robots; learning algorithms; machine learning; optimisation; robot control; robot programming; robot vision; robotics; walking
- Identifier
- http://hdl.handle.net/1959.13/32165
- Identifier
- uon:2938
- Language
- eng
- Full Text
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