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Using evolved paths for control in robot soccer

conference contribution
posted on 2017-12-06, 00:00 authored 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

2003-01-01

Finish Date

2003-06-18

ISBN-10

0780378679

Location

Kobe, Japan

Publisher

IEEE

Place of Publication

Piscataway, NJ

Full Text URL

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

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    Keywords

    Expanding Knowledge in EngineeringElectrical and Electronic Engineering not elsewhere classified

    Licence

    CQUniversity General 1.0

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