- Title
- Techniques for improving vision and locomotion on the Sony AIBO robot
- Creator
- Quinlan, Michael J.; Chalup, Stephan K.; Middleton, Richard H.
- 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
- Publisher
- Australian Robotics & Automation Association
- Resource Type
- conference paper
- Date
- 2003
- 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.
- Subject
- AIBO; RoboCup; robotics; collision detection; color classification; walking parameters
- Identifier
- http://hdl.handle.net/1959.13/915933
- Identifier
- uon:7859
- Identifier
- ISBN:0958758352
- Language
- eng
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 549 KB | Adobe Acrobat PDF | View Details Download |