• DocumentCode
    1547765
  • Title

    Incorporating body dynamics into sensor-based motion planning: the maximum turn strategy

  • Author

    Shkel, Andrei M. ; Lumelsky, Vladimir J.

  • Author_Institution
    Dept. of Mech. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    13
  • Issue
    6
  • fYear
    1997
  • fDate
    12/1/1997 12:00:00 AM
  • Firstpage
    873
  • Lastpage
    880
  • Abstract
    Most of today´s approaches to sensor-based motion planning focus on kinematic and geometric issues and ignore the system dynamics. Those few that address dynamics do so in a two-stage fashion by considering one issue at the time. This work attempts to incorporate control of body dynamics into the sensor-based motion planning process. A point mobile robot is assumed to operate in a planar environment with unknown arbitrary stationary obstacles. Based on its current velocity and sensory data about the surrounding obstacles, the robot plans its motion to locally maximize the turning angle toward the current intermediate target. An optimal braking procedure takes care of sudden potential collisions by guaranteeing a safe emergency stopping path. Given the constraints on robot´s dynamics, sensing, and control means, conditions are formulated for generating trajectories that guarantee convergence and the robot´s safety at all times. The approach calls for continuous computation and is fast enough for real-time implementation. Simulated examples demonstrate its performance
  • Keywords
    mobile robots; optimal control; path planning; robot dynamics; safety; body dynamics; emergency stopping; maximum turn strategy; optimal braking procedure; point mobile robot; sensor-based motion planning; sensory data; system dynamics; unknown arbitrary stationary obstacles; Computational modeling; Convergence; Kinematics; Mobile robots; Motion control; Motion planning; Process planning; Robot sensing systems; Safety; Turning;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.650166
  • Filename
    650166