• DocumentCode
    2533680
  • Title

    An exploration of sensorless manipulation

  • Author

    Erdmann, Michael ; Mason, Matthew T.

  • Author_Institution
    Massachusetts Institute of Technology
  • Volume
    3
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    1569
  • Lastpage
    1574
  • Abstract
    An autonomous robotic manipulator can reduce uncertainty in the locations of objects in either of two ways: by sensing, or by motion strategies. This paper explores the use of motion strategies to eliminate uncertainty, without the use of sensors. The approach is demonstrated within the context of a simple method to orient planar objects. A randomly oriented object is dropped into a tray. When the tray is tilted, the object can slide into walls, along walls, and into corners, sometimes with the effect of reducing the number of possible orientations. For some objects a sequence of tilting operations exists that leaves the object´s orientation completely determined. The paper describes an automatic planner that constructs such a tilting program, using a simple model of the mechanics of sliding. The planner has been implemented, the resulting programs have been executed using a tray attached to an industrial manipulator, and sometimes the programs work. The paper also explores the issue of sensorless manipulation, tray-tilting in particular, within the context of a formal framework first described by Lozano-Pérez, Mason, and Taylor [1984]. It is observed that sensorless motion strategies perform conditional actions using mechanical decisions in place of environmental inquiries.
  • Keywords
    Artificial intelligence; Azimuth; Books; Error correction; Intelligent robots; Laboratories; Manipulators; Robot sensing systems; Switches; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation. Proceedings. 1986 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBOT.1986.1087522
  • Filename
    1087522