• DocumentCode
    2913119
  • Title

    Quasi-time-optimal motion planning of mobile platforms in the presence of obstacles

  • Author

    Yamamoto, Motoji ; Iwamura, Makoto ; Mohri, Akira

  • Author_Institution
    Dept. of Intelligent Machinery & Syst., Kyushu Univ., Fukuoka, Japan
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2958
  • Abstract
    This paper addresses a problem of optimal motion planning of mobile platforms amidst obstacles, considering the mobile platform dynamics. Due to nonholonomic constraints, actuator constraints, and state constraints by obstacle avoidance, the planning problem of mobile platform with two independently driven wheels is a complicated one. In this study, a dynamical model for the mobile platform is presented, including nonholonomic kinematic constraints. The idea of a path parameter is introduced to simplify the planning problem by considering the dynamics and nonholonomic constraints. Using the path parameter, the optimal motion planning problem is divided into two sub-problems: 1) time-optimization of trajectory along specified path, and 2) search for optimal path. Then two methods are proposed the solve the problems using the path parameter and parametrization by B-spline function. Finally, quasi-time-optimal solution for the original problem are planned by combining the two methods. Numerical examples show effectiveness of the motion planner
  • Keywords
    manipulator dynamics; manipulator kinematics; mobile robots; optimisation; splines (mathematics); time optimal control; B-spline function; dynamics; mobile platforms; nonholonomic kinematic constraints; obstacle avoidance; optimal motion planning; path parameter; quasi-time-optimal planning; time-optimization; Intelligent systems; Kinematics; Machine intelligence; Mobile robots; Motion planning; Optimization methods; Path planning; Spline; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.774046
  • Filename
    774046