• DocumentCode
    2739133
  • Title

    An active prediction, planning and execution system for interception of moving objects

  • Author

    Hujic, D. ; Zak, G. ; Croft, E. ; Fenton, R.G. ; Mills, J.K. ; Benhabib, B.

  • Author_Institution
    Dept. of Mech. Eng., Toronto Univ., Ont., Canada
  • fYear
    1995
  • fDate
    10-11 Aug 1995
  • Firstpage
    347
  • Lastpage
    352
  • Abstract
    An active prediction, planning and execution approach to object interception is applied to the problem of catching a moving object. The object motion cannot be accurately predicted into the future necessitating active path replanning. Unlike the APPE systems reported in the literature, which at best can select a rendezvous-point amongst a few non-optimal interception points, the proposed APPE system is able to intercept the object anywhere along its predicted trajectory. Time-optimal object interception is accomplished by planning the rendezvous-point at the earliest possible time using a quintic-polynomial trajectory planner. Simulation and experimental results are reported
  • Keywords
    decision theory; digital simulation; intelligent control; motion estimation; object recognition; path planning; polynomials; position control; active execution system; active path replanning; active planning; active prediction; moving objects interception; quintic-polynomial trajectory planner; rendezvous-point; time-optimal object interception; Intelligent robots; Laboratories; Mechanical engineering; Milling machines; Motion planning; Orbital robotics; Robot motion; Robotics and automation; Service robots; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Assembly and Task Planning, 1995. Proceedings., IEEE International Symposium on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    0-8186-6995-0
  • Type

    conf

  • DOI
    10.1109/ISATP.1995.518793
  • Filename
    518793