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Fuzzy control in robot-soccer, evolutionary learning in the first layer of control
conference contribution
posted on 2017-12-06, 00:00 authored by Peter ThomasPeter Thomas, Russel StonierRussel StonierIn this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control of a soccer playing micro-robot from any configuration belonging to a grid of initial configurations to hit the ball along the ball to goal line of sight. The knowledge base uses relative co-ordinate system including left and right wheel velocities of the robot. Final path positions allow forward and reverse facing robot to ball and include its physical dimensions.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Start Page
181End Page
186Number of Pages
6Start Date
2002-07-14Finish Date
2002-07-18ISBN-10
9800781501ISBN-13
9789800781500Location
Orlando, Florida.Publisher
International Institute of Informatics and SystemicsPlace of Publication
Florida, USAPeer Reviewed
- Yes
Open Access
- No
Cultural Warning
This research output may contain the names and images of Aboriginal and Torres Strait Islander people now deceased. We apologize for any distress that may occur.External Author Affiliations
Faculty of Engineering and Physical Systems; Faculty of Informatics and Communication;Era Eligible
- No