• DocumentCode
    3235539
  • Title

    Automated programming of an industrial robot through teach-by showing

  • Author

    Myers, Donald R. ; Pritchard, Michael J. ; Brown, Mark D J

  • Author_Institution
    Intelligent Autom. Inc., Rockville, MD, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4078
  • Abstract
    Intelligent Automation, Inc. (IAI) presents a system that learns from demonstrations of a human operator and then produces a sensor-driven program that can control a robot without operator intervention. The system generates a procedural program, identical in function to a procedural program developed in a conventional robot programming language, that can be easily re-used in similar but different application tasks. In essence, based on the skills demonstrated by a human teacher, a robot can be automatically programmed to perform complex assembly tasks. Robot users with no programming skills will be able to "bootstrap" themselves to a semi-autonomous operation after a small number of taught examples. In addition, as the task requirements change, the robot can be re-programmed as easily as it was initially programmed. 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. In fact, the operator need not be familiar with the syntax and semantics of the programming language at all.
  • Keywords
    automatic programming; industrial robots; learning by example; learning systems; robot programming; Intelligent Automation; human operator; industrial robots; learning from demonstrations; learning system; robot programming; skill learning; Automatic programming; Educational robots; Electrical equipment industry; Humans; Intelligent robots; Robot programming; Robot sensing systems; Robotic assembly; Robotics and automation; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-6576-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2001.933255
  • Filename
    933255