• DocumentCode
    1159801
  • Title

    A robust, automated alignment concept for robotics

  • Author

    Everett, Louis J. ; Redfield, Robin C.

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    10
  • Issue
    4
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    530
  • Lastpage
    534
  • Abstract
    A video-based pose sensor is presented that overcomes some of the common problems with typical robotic pose sensors. The Targeting and Reflective Alignment Concept (TRAC) sensor operates using the optics of reflection. TRAC is a robust sensor capable of both continuous and discrete pose sensing in the presence of a class of disturbance inputs (extraneous lighting). Key features of the sensor are its high sensitivity to orientation error, its decoupled handling of orientation and translation (without calibration transformations), and its ability to provide intuitive feedback to a human operator for tele-operation. The sensor has been shown successful at target tracking with a PUMA manipulator in the laboratory and in automatic positioning of NASA-JSC´s Manipulator Development Facility (MDF) telemanipulator arm used for shuttle astronaut training
  • Keywords
    computer vision; image sensors; motion estimation; position control; NASA-JSC´s Manipulator Development Facility; PUMA manipulator; Targeting and Reflective Alignment Concept sensor; automatic positioning; disturbance inputs; extraneous lighting; orientation error sensitivity; robotic pose sensors; robust automated alignment concept; shuttle astronaut training; target tracking; telemanipulator arm; teleoperation; video-based pose sensor; Calibration; Humans; Optical feedback; Optical reflection; Optical sensors; Robot sensing systems; Robotics and automation; Robustness; Sensor phenomena and characterization; Target tracking;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.313102
  • Filename
    313102