A study of mechanisms for improving robotic group performance
作者: Avi RosenfeldGal A. KaminkaSarit KrausOnn Shehory
作者单位: 1Department of Industrial Engineering, Jerusalem College of Technology, Jerusalem, Israel 91160
2Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel 92500
刊名: Artificial Intelligence, 2007, Vol.172 (6), pp.633-655
来源数据库: Elsevier Journal
DOI: 10.1016/j.artint.2007.09.008
关键词: Multiagent systemsAdaptive coordinationLocalized decisions
原始语种摘要: Abstract(#br)Many collaborative multi-robot application domains have limited areas of operation that cause spatial conflicts between robotic teammates. These spatial conflicts can cause the team's productivity to drop with the addition of robots. This phenomenon is impacted by the coordination methods used by the team-members, as different coordination methods yield radically different productivity results. However, selecting the best coordination method to be used by teammates is a formidable task. This paper presents techniques for creating adaptive coordination methods to address this challenge. We first present a combined coordination cost measure, CCC, to quantify the cost of group interactions. Our measure is useful for facilitating comparison between coordination methods, even when...
全文获取路径: Elsevier  (合作)
影响因子:2.194 (2012)

  • coordination 配位
  • improving 改进
  • group 
  • productivity 生产能力
  • adaptive 适应的
  • study 学习
  • quantify 量化
  • significant 有效的
  • minimize 最小化
  • create 引起