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Research on self-adaptive decision-making mechanism for competition strategies in robot soccer

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Abstract

In the robot soccer competition platform, the current confrontation decision-making system suffers from difficulties in optimization and adaptability. Therefore, we propose a new self-adaptive decision-making (SADM) strategy. SADM compensates for the restrictions of robot physical movement control by updating the task assignment and role assignment module using situation assessment techniques. It designs a self-adaptive role assignment model that assists the soccer robot in adapting to competition situations similar to how humans adapt in real time. Moreover, it also builds an accurate motion model for the robot in order to improve the competition ability of individual robot soccer. Experimental results show that SADM can adapt quickly and positively to new competition situations and has excellent performance in actual competition.

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Author information

Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, 710129, China

    Haobin Shi, Lin Zhang & Wei Pan

  2. Information Technology Research Base of Civil Aviation Administration of China, Civil Aviation University of China, Tianjin, 300300, China

    Haobin Shi

  3. School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710129, China

    Lincheng Xu

  4. School of Science, Northwestern Polytechnical University, Xi’an, 710129, China

    Genjiu Xu

Authors
  1. Haobin Shi
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  2. Lincheng Xu
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  3. Lin Zhang
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  4. Wei Pan
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  5. Genjiu Xu
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Corresponding author

Correspondence to Haobin Shi.

Additional information

Haobin Shi received his PhD from Northwestern Polytechnical University, China in 2008. He is an assistant professor in the School of Computer Science at Northwestern Polytechnic University, China. He is the director of the Chinese Association for Artificial Intelligence. His current research interests include intelligent robots, decision support systems, artificial intelligence, multi-agent robot systems, and machine learning.

Lincheng Xu is a masters candidate in theoretical and computational fluid dynamics in Northwestern Polytechnical University, China. His research interests focus on robotic mechanical modeling, computational fluid dynamics, and nonlinear optimization.

Lin Zhang received his MSc in computer science from Northwestern Polytechnical University, China in 2013: where he is currently a PhD candidate. His research direction includes embedded systems, and artificial intelligence.

Wei Pan received his PhD from Northwestern Polytechnical University, China in 2008. He is an assistant professor in the School of Computer Science at Northwestern Polytechnic University, China. His current research interests include intelligent robots, and multi-agent robot systems.

Genjiu Xu received his PhD from Northwestern Polytechnical University, China in 2008. He is an associate professor in School of Computer Science at Northwestern Polytechnic University, China. He is an executive member of the Committee on game theory of Operations Research Society of China. His current research interests include operations research, game theory, and mechanism design.

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Shi, H., Xu, L., Zhang, L. et al. Research on self-adaptive decision-making mechanism for competition strategies in robot soccer. Front. Comput. Sci. 9, 485–494 (2015). https://doi.org/10.1007/s11704-015-4210-7

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  • DOI: https://doi.org/10.1007/s11704-015-4210-7

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