• DocumentCode
    1225566
  • Title

    Obstacle accommodation motion planning

  • Author

    Shan, Yansong ; Koren, Yoram

  • Author_Institution
    Dept. of Mech. Eng. & Appl. Mech., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    11
  • Issue
    1
  • fYear
    1995
  • fDate
    2/1/1995 12:00:00 AM
  • Firstpage
    36
  • Lastpage
    49
  • Abstract
    A new robot path planning methodology, called obstacle accommodation, has been introduced for robots in cluttered environments. This methodology does not attempt to avoid physical contact between the robot and obstacles. Instead, it controls the contact to prevent damage to the robot. Obstacle accommodation represents a new robotic paradigm in which obstacles can contact robots at unspecified positions, i.e., a contact point can be at any point on any link. Obstacle accommodation requires analysis in kinematics, motion planning, dynamics, and control. This paper deals with the development of the kinematic constraints and with motion planning under these constraints. We begin by providing a general formulation of the motion constraints due to contact with obstacles. Next, a new inverse kinematics is presented that provides joint motion for robots under contact constraints. Finally, the new motion planning algorithm for robot motion in a cluttered environment is provided. The motion planning algorithm is verified by two examples, one on a linkage robot and the other on a mobile robot
  • Keywords
    constraint handling; kinematics; mechanical contact; mobile robots; path planning; cluttered environments; contact constraints; inverse kinematics; kinematic constraints; motion constraints; motion planning; obstacle accommodation; robot path planning; Force control; Kinematics; Mobile robots; Motion control; Motion planning; Path planning; Position control; Robot control; Robot motion; Robot sensing systems;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.345936
  • Filename
    345936