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  • 标题:Teaching by Practice the Basis of Consensus for Multi-Agent Systems
  • 本地全文:下载
  • 作者:S. Bertrand ; C. Stoica Maniu ; C. Vlad
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:12
  • 页码:20-25
  • DOI:10.1016/j.ifacol.2021.11.004
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper provides in depth feedback on a new course on consensus for multi-agent systems developed for graduate students. The considered pedagogic approach gives a simple theoretical basis to the students through very few lectures while putting a strong effort into practice and applications. The paper describes how the transition to full remote teaching has been achieved due to the Covid-19 pandemic, especially regarding practical work sessions. Initially planed with aerial robots, practical work sessions have been modified to use a remote online platform for multi-robot experiments, Robotarium from Georgia Tech. To keep lectures and practical work sessions attractive to the students, especially in this remote learning context, a motivating example has been proposed to students, mixing arts and sciences, and consisting in re-creating a choreography from a kite contest video with a multi-robot system.
  • 关键词:KeywordsMulti-Agent SystemsConsensusRemote Laboratories
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