• DocumentCode
    1985592
  • Title

    An egocentric vision based assistive co-robot

  • Author

    Jingzhe Zhang ; Lishuo Zhuang ; Yang Wang ; Yameng Zhou ; Yan Meng ; Gang Hua

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We present the prototype of an egocentric vision based assistive co-robot system. In this co-robot system, the user is wearing a pair of glasses with a forward looking camera, and is actively engaged in the control loop of the robot in navigational tasks. The egocentric vision glasses serve for two purposes. First, it serves as a source of visual input to request the robot to find a certain object in the environment. Second, the motion patterns computed from the egocentric video associated with a specific set of head movements are exploited to guide the robot to find the object. These are especially helpful for quadriplegic individuals who do not have needed hand functionality for interaction and control with other modalities (e.g., joystick). In our co-robot system, when the robot does not fulfill the object finding task in a pre-specified time window, it would actively solicit user controls for guidance. Then the users can use the egocentric vision based gesture interface to orient the robot towards the direction of the object. After that the robot will automatically navigate towards the object until it finds it. Our experiments validated the efficacy of the closed-loop design to engage the human in the loop.
  • Keywords
    cameras; closed loop systems; control system synthesis; gesture recognition; image motion analysis; medical robotics; path planning; robot vision; closed-loop design; control loop; egocentric vision based assistive co-robot system; egocentric vision based gesture interface; forward looking camera; glasses; head movements; motion patterns; navigational tasks; quadriplegic individuals; user controls; visual input; Cameras; Glass; Histograms; Robot kinematics; Robot vision systems; active learning; co-robot; human in the loop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4673-6022-7
  • Type

    conf

  • DOI
    10.1109/ICORR.2013.6650473
  • Filename
    6650473