首页    期刊浏览 2024年08月31日 星期六
登录注册

文章基本信息

  • 标题:Evolving Connectionist System Based Role Allocation for Robotic Soccer
  • 作者:L. Huang ; Q. Song ; N. Kasabov
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2008
  • 卷号:5
  • 期号:1
  • DOI:10.5772/5658
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:Robotic soccer is an intelligent system where a group of mobile robots are controlled to perform soccer play ( http://www.fira.net ). The allocation of a suitable role for each robot in a team is a key for the success of the play. The paper treats this issue as one of pattern classification, and solves it with an Evolving classification function (ECF), a special evolving connectionist system (ECOS). A robot's role is determined by and evolves with the states of system (robots and target) in real time. The software and hardware platforms are set up for data collection and learning. The effectiveness of the proposed approach is verified by the experimental studies.
  • 关键词:Robotic Soccer; Mobile Robots; Evolving Connectionist Systems
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有