• DocumentCode
    2248856
  • Title

    Improving the connectivity of PRM roadmaps

  • Author

    Morales, Marco ; Rodríguez, Samuel ; Amato, Nancy M.

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    4427
  • Abstract
    In this paper we investigate how the coverage and connectedness of PRM roadmaps can be improved by adding a connected component (CC) connection step to the general PRM framework. We provide experimental results establishing that significant roadmap improvements can be obtained relatively efficiently by utilizing a suite of CC connection methods, which include variants of existing methods such as RRT and a new ray tracing based method. The coordinated application of these techniques is enabled by methods for selecting and scheduling pairs of nodes in different CCs for connection attempts. In addition to identifying important and/or promising regions of C-space for exploration, these methods also provide a mechanism for controlling the cost of the connection attempts. In our experiments, the time required by the improvement phase was on the same order as the time used to generate the initial roadmap.
  • Keywords
    path planning; probability; ray tracing; topology; c-space region; connected component connection methods; cost control; node scheduling pairs; path planning; probabilistic roadmap method; ray tracing; roadmap connectivity; Application software; Carbon capture and storage; Computer science; Costs; Joining processes; Motion planning; Orbital robotics; Ray tracing; Robot kinematics; Space exploration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-7736-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.2003.1242286
  • Filename
    1242286