• DocumentCode
    414447
  • Title

    Value-based action selection for exploration and dynamic target observation with robot teams

  • Author

    Stroupe, Ashley W. ; Ravichandran, Ramprasad ; Balch, Tucker

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    April 26-May 1, 2004
  • Firstpage
    4190
  • Abstract
    Move Value Estimation for Robot Teams (MVERT) is a robot action selection algorithm for teams performing multiple competing tasks. The goal of MVERT is to select actions for robot team members to maximize the team´s joint utility toward overall mission progress in a computationally efficient manner. MVERT is fully distributed, with each robot using information about other teammates to select its action with the greatest value. MVERT selects actions for a robot team to perform multi-task exploration and dynamic target observation. Successful action selection is demonstrated in simulation for exploration and in simulation and on robots for dynamic target observation.
  • Keywords
    multi-robot systems; target tracking; dynamic target observation; move value estimation for robot teams; multitask exploration; robot action selection; robot teams; value based action selection; Computational modeling; Educational institutions; Large-scale systems; Multirobot systems; Orbital robotics; Particle filters; Robots; Sampling methods; Simultaneous localization and mapping; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1308930
  • Filename
    1308930