• DocumentCode
    2913532
  • Title

    An approach to automated programming of industrial robots

  • Author

    Myers, Donald R.

  • Author_Institution
    Intelligent Autom. Inc., Rockville, MD, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3109
  • Abstract
    This project develops a “teach-by showing” approach that permits unskilled users to program robots by physically demonstrating examples of a task to a trainable controller. Each example may be shown in one of three ways: by direct demonstration, by placing the robot in a zero-force mode and physically leading it through the task, or by operating the robot in a master/slave mode. During each demonstration, both the sensor inputs to the robot controller and the control outputs from the controller are presented to the training system. Following the demonstrations, the training system then produces a prototype procedural program suitable for downloading into a commercial robot controller. Unlike the conventional program development process, the operator need not postulate about the value of sensor feedback variables required at a particular level of the controller. Examples of successful, but perhaps quite different task strategies can be demonstrated by the human teacher until the robot system is capable of successful autonomous operation
  • Keywords
    automatic programming; industrial robots; learning by example; learning systems; production engineering computing; robot programming; automated programming; direct demonstration; industrial robots; learning system; master/slave mode; robot programming; teach-by showing; Automatic control; Automatic programming; Control systems; Master-slave; Robot control; Robot programming; Robot sensing systems; Robotics and automation; Sensor systems; Service robots;
  • 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.1999.774071
  • Filename
    774071