• DocumentCode
    249821
  • Title

    The speed graph method: Time optimal navigation among obstacles subject to safe braking constraint

  • Author

    Manor, Gil ; Rimon, Elon

  • Author_Institution
    Dept. of Mech. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    1155
  • Lastpage
    1160
  • Abstract
    This paper describes a method for computing the global time optimal path of a mobile robot navigating among obstacles subject to safe braking constraints. The paper first generalizes the classical Brachistochrone problem into a time optimal navigation problem, where the mobile robot navigates under a braking safety constraint near a point obstacle or a wall segment. The time optimal navigation problem is then formulated for general polygonal environments. Based on this formulation, the paper constructs a speed graph for the environment which consists of time optimal arcs that connect critical via points. The speed graph is then used to identify the path homotopy class which most likely contains the global time optimal path. Once a candidate homotopy class is selected, the exact time optimal path subject to safe braking constraints is computed within the homotopy class based on convexity properties of these paths. The results are illustrated with examples, described as readily implementable procedures, and demonstrated with experiments.
  • Keywords
    braking; collision avoidance; graph theory; mobile robots; safety; time optimal control; classical Brachistochrone problem; convexity properties; general polygonal environments; global time optimal path; mobile robot navigation; path homotopy class; point obstacle; safe braking constraint; speed graph method; time optimal arcs; time optimal navigation problem; wall segment; Joining processes; Mobile robots; Navigation; Robot kinematics; Safety; Space exploration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6906999
  • Filename
    6906999