• DocumentCode
    2612804
  • Title

    Slip modelling, detection and control for redundantly actuated wheeled mobile robots

  • Author

    Li, Yuan Ping ; Ang, Marcelo H., Jr. ; Lin, Wei

  • Author_Institution
    Mechatron. Group, Singapore Inst. of Manuf. Technol., Singapore
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    967
  • Lastpage
    972
  • Abstract
    This paper presents a comprehensive methodology (modelling, detection, and control) for tackling slip problems in redundantly actuated wheeled mobile robots. A new concept, ldquoslip velocityrdquo, is introduced for the purpose of enlarging the robotspsila kinematic model by including slip modelling. Our simple and yet effective slip detection scheme is based on the sensing redundancy of the system. The slip control scheme is based on the relationship between slip velocity and its associated constraint force. The effectiveness of the proposed slip detection and slip control schemes is demonstrated with experimental results. For the first time, experimental results of a force controlled wheeled mobile robot with the proposed schemes implemented is presented. The proposed schemes can be applied to both mobile robots and mobile manipulation systems.
  • Keywords
    force control; mobile robots; motion control; robot kinematics; slip; constraint force; force control; mobile manipulation system; redundantly actuated wheeled mobile robots; robot kinematic model; sensing redundancy; slip control; slip detection; slip modelling; slip velocity; Extraterrestrial measurements; Force control; Kinematics; Mechatronics; Mobile robots; Motion control; Pulp manufacturing; Vehicle dynamics; Virtual manufacturing; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601792
  • Filename
    4601792