首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy
  • 本地全文:下载
  • 作者:Federico Rossi ; Saptarshi Bandyopadhyay ; Michael Wolf
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:12
  • 页码:112-117
  • DOI:10.1016/j.ifacol.2018.07.097
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we review multi-agent collective behavior algorithms in the literature and classify them according to their underlying mathematical structure. For each mathematical technique, we identify the multi-agent coordination tasks it can be applied to, and we analyze its scalability, bandwidth use, and demonstrated maturity. We highlight how versatile techniques such as artificial potential functions can be used for applications ranging from low-level position control to high-level coordination and task allocation, we discuss possible reasons for the slow adoption of complex distributed coordination algorithms in the field, and we highlight areas for further research and development.
  • 关键词:KeywordsAutonomous mobile robotsAgentsDistributed ControlDecentralized Control
国家哲学社会科学文献中心版权所有