• DocumentCode
    2030865
  • Title

    Randomized planning for short inspection paths

  • Author

    Danner, T. ; Kavraki, L.E.

  • Author_Institution
    Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    24-28 April 2000
  • Firstpage
    971
  • Abstract
    Addresses the following inspection problem: given a known workspace and a robot with vision capabilities compute a short path path for the robot such that each point on boundary of the workspace is visible from some point on the path. Autonomous inspection, such as by a flying camera, or a virtual reality architectural walkthrough, could be guided by a solution to the above inspection problem. Visibility constraints on both maximum viewing distance and maximum angle of incidence are considered to better model real sensors. An algorithm is presented for planar workspaces which operates in two steps: selecting art gallery-style guards and connecting them to form an inspection path. Experimental results for this algorithm are discussed. Next, the algorithm is extended to three dimensions and inspection paths are shown.
  • Keywords
    computational complexity; graph theory; optimisation; path planning; robot vision; robots; travelling salesman problems; art gallery-style guards; flying camera; maximum angle of incidence; maximum viewing distance; planar workspaces; randomized planning; short inspection paths; virtual reality architectural walkthrough; visibility constraint; vision capabilities; Art; Cameras; Computer science; Computer vision; Inspection; Joining processes; Path planning; Robot vision systems; Space stations; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA, USA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844726
  • Filename
    844726