• DocumentCode
    2669529
  • Title

    On-line trajectory planning for autonomous robotic excavation based on force/torque sensor measurements

  • Author

    Wang, Fei-Yue ; Lever, Paul J A

  • Author_Institution
    Dept. of Syst. & Ind. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    371
  • Lastpage
    378
  • Abstract
    This paper describes the authors´ initial investigation into on-line trajectory planning for autonomous robotic excavation. A dynamic model for arm/environment interaction is proposed. Excavation trajectories are generated using a trapezoidal velocity profile under the maximum force/torque constraints. A scheme for real-time identification of dynamic arm/environment interaction parameters is implemented with a first-order algorithm of Saridis-Stein stochastic approximation. The result of a simulation study is presented to illustrate the proposed trajectory planning approach
  • Keywords
    approximation theory; excavators; force measurement; manipulators; mobile robots; parameter estimation; path planning; position control; sensor fusion; torque measurement; Saridis-Stein stochastic approximation; arm/environment interaction; autonomous robotic excavation; dynamic model; first-order algorithm; force/torque sensor measurements; maximum force/torque constraints; online trajectory planning; trapezoidal velocity profile; Automatic control; Control systems; Force measurement; Force sensors; Fuzzy logic; Humans; Robot sensing systems; Robotics and automation; Torque measurement; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7803-2072-7
  • Type

    conf

  • DOI
    10.1109/MFI.1994.398430
  • Filename
    398430