• DocumentCode
    2934235
  • Title

    Optimal Positioning Strategies for Shape Changes in Robot Teams

  • Author

    Spletzer, John R. ; Fierro, Rafael

  • Author_Institution
    Department of Computer Science & Engineering Lehigh University Bethlehem, PA 18015, USA spletzer@cse.lehigh.edu
  • fYear
    2005
  • fDate
    18-22 April 2005
  • Firstpage
    742
  • Lastpage
    747
  • Abstract
    In this paper, we consider the task of repositioning a formation of robots to a new shape while minimizing either the maximum distance that any robot travels, or the total distance traveled by the formation. We show that optimal solutions in SE (2) can be achieved for either metric through second-order cone programming (SOCP) techniques. For the case where the orientation of the new formation shape is fixed, we obtain optimal solutions in both R2and R3. The latter also allows for complete regulation of the formation size via constraints on the shape scale. We expect that these results will prove useful for extending the mission lives of robot formations and mobile ad-hoc networks (MANETs).
  • Keywords
    SOCP; Shape change; convex optimization; Ad hoc networks; Biosensors; Computer science; Mobile robots; Orbital robotics; Robot control; Robot kinematics; Robot programming; Robot sensing systems; Shape control; SOCP; Shape change; convex optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8914-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.2005.1570206
  • Filename
    1570206