• DocumentCode
    2614314
  • Title

    Modified Newton´s method applied to potential field navigation

  • Author

    McIsaac, Kenneth A. ; Ren, Jing ; Huang, Xishi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Western Ontario Univ., London, Ont., Canada
  • Volume
    6
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    5873
  • Abstract
    In this paper, we propose the use of a modification of Newton´s method for potential field navigation. The use of the modified Newton´s method, which applies anywhere C2 continuous navigation functions are defined, greatly improves system performance in the presence of obstacles, when compared to the standard gradient descent approaches. To illustrate the technique, we also propose a hierarchical software architecture for robots that supports multi-robot coordination and can be easily extended for other applications. Simulations show that a robot team can accomplish a cooperative material-handling task in an initially unknown environment while avoiding collision with static obstacles and other team members. We derive a control law based on the modified Newton method that guarantees team stability for all time.
  • Keywords
    Newton method; collision avoidance; cooperative systems; materials handling equipment; multi-robot systems; robot kinematics; robot programming; software architecture; uncertain systems; C2 continuous navigation functions; Newton method; cooperative material-handling task; field navigation; hierarchical software architecture; multirobot coordination; search and carry back task; Educational institutions; Mobile robots; Motion control; Motion planning; Navigation; Newton method; Robot kinematics; Robot sensing systems; Software architecture; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1271943
  • Filename
    1271943