• DocumentCode
    399371
  • Title

    Adaptive multi-robot behavior via learning momentum

  • Author

    Lee, J. Brian ; Arkin, Ronald C.

  • Author_Institution
    Mobile Robot Laboratory, Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    2029
  • Abstract
    In this paper, the effects of adaptive robotic behavior via learning momentum in the context of a robotic team are studied. Learning momentum is a variation on parametric adjustment methods that has previously been successfully applied to enhance individual robot performance. In particular, we now assess, via simulation, the potential advantages of a team of robots using this capability to alter behavioral parameters when compared to a similar team of robots with static parameters.
  • Keywords
    adaptive control; learning systems; legged locomotion; multi-robot systems; path planning; adaptive multi-robot behavior; behavioral parameters; learning momentum; parametric adjustment methods; robotic team; static parameters; Educational institutions; Laboratories; Machine learning; Mars; Mobile robots; Multiagent systems; Navigation; Protection; Robot sensing systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1248962
  • Filename
    1248962