• DocumentCode
    2381954
  • Title

    A discrete harmonic potential approach to motion planning on a weighted graph

  • Author

    Masoud, Ahmad A.

  • Author_Institution
    Dept. of Electr. Eng., KFUPM, Dhahran
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    807
  • Lastpage
    812
  • Abstract
    A provably-correct discrete version of the harmonic potential field (HPF) approach to motion planning was suggested by Masoud, A [2006]. The approach utilizes the strong relation between graph theory and electrical network theory for developing a framework of theories and definitions that, among other things, can strongly aid in developing a discrete HPF planning approach. This framework was used to suggest an efficient, optimal, novel, discrete planning method called the M* algorithm. In this paper an in-place, successive relaxation procedure is suggested for implementing the M* algorithm. Also, the utility of the discrete HPF approach is demonstrated in robust, data network routing.
  • Keywords
    graph theory; path planning; robots; data network routing; discrete harmonic potential approach; discrete planning method; electrical network theory; graph theory; motion planning; weighted graph; Boundary conditions; Graph theory; Motion control; Navigation; Path planning; Robot sensing systems; Robustness; Routing; Sampling methods; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586592
  • Filename
    4586592