• DocumentCode
    2417648
  • Title

    Simple and robust visual servo control of robot arms using an on-line trajectory generator

  • Author

    Kröger, Torsten ; Padial, Jose

  • Author_Institution
    Artificial Intell. Lab., Stanford Univ., Stanford, CA, USA
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    4862
  • Lastpage
    4869
  • Abstract
    Common visual servoing methods use image features to define a signal error in the feedback loops of robot motion controllers. This paper suggests a new visual servo control scheme that uses an on-line trajectory generator as an intermediate layer between image processing algorithms and robot motion controllers. The motion generation algorithm is capable of computing an entire trajectory from an arbitrary initial state of motion within one servo control cycle (typically one millisecond or less). This algorithm is fed with desired pose and velocity signals that are generated by an image processing algorithm. The advantages of this new architecture are: (a) jerk-limited and continuous motions are guaranteed independently of image processing signals, (b) kinematic motion constraints as well as physical and/or artificial workspace limits can be directly considered, and (c) the system can instantaneously and safely react to sensor failures (e.g., if cameras are covered or image processing fails). Real-world experimental results using a seven-joint robot arm are presented to underline the relevance for the field of robust sensor-guided robot motion control.
  • Keywords
    manipulators; motion control; position control; robot vision; visual servoing; continuous motions; feedback loops; image processing algorithm; jerk-limited motion; motion generation algorithm; online trajectory generator; robot arms; robot motion controllers; robust visual servo control; seven-joint robot arm; Cameras; Image processing; Robot motion; Robot sensing systems; Trajectory; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6225175
  • Filename
    6225175