Vector field based path planning and Petri-net based role selection mechanism with Q-learning for the soccer robot system

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The paper discusses a multi-agent system for robot-soccer. The system consists of a supervisory controller, and controllers for attack, defense and goalie robots. Real time vector field based path planning, Petri-net theory and Q-learning technique are used in the design. Robot-soccer system has a dynamic environment. A soccer robot has to take an appropriate decision based on environment situation. The supervisor assigns the role of each robot. Experimental study verifies applicability and efficiency of the developed controller scheme.
Publisher
AUTOSOFT PRESS
Issue Date
2000
Language
English
Article Type
Article
Keywords

COOPERATIVE MULTIAGENT SYSTEM; REAL-TIME APPLICATION

Citation

INTELLIGENT AUTOMATION AND SOFT COMPUTING, v.6, no.1, pp.75 - 87

ISSN
1079-8587
URI
http://hdl.handle.net/10203/12929
Appears in Collection
EE-Journal Papers(저널논문)
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