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Using evolved paths for control in robot soccer

conference contribution
posted on 06.12.2017, 00:00 by Peter Thomas, Russel Stonier
In this paper we use an evolutionary algorithm to evolve paths using robot velocity profiles from an initial configuration to a configuration behind the ball. Physical conditions for wheel lift are incorporated as well as forward and reverse motion of the robot. a fuzzy clustering technique is used to build the fuzzy control knowledge base from optimised paths found for a large grid of initial configurations.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

735

End Page

740

Number of Pages

6

Start Date

01/01/2003

Finish Date

18/06/2003

ISBN-10

0780378679

Location

Kobe, Japan

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Engineering and Physical Systems; Faculty of Informatics and Communication;

Era Eligible

No

Name of Conference

IEEE International Symposium on Computational Intelligence in Robotics and Automation

Exports

CQUniversity

Exports