• DocumentCode
    2994381
  • Title

    Video Demo: 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
    23-28 June 2013
  • Firstpage
    48
  • Lastpage
    49
  • Abstract
    We present the video demo of 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 the needed hand functionality for 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
    closed loop systems; gesture recognition; handicapped aids; human-robot interaction; image motion analysis; medical robotics; mobile robots; path planning; robot vision; video signal processing; Care-O-bot II; assistive robotic systems; closed-loop design; disabled individuals; egocentric vision based assistive co-robot system; egocentric vision based gesture interface; egocentric vision glasses; forward looking camera; human-in-the-loop; navigational tasks; rehabilitation robotic systems; robot control loop; user controls; video demo; Cameras; Glass; Head; Magnetic heads; Navigation; Robots; Search problems; Assistive co-robot; Egocentric vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/CVPRW.2013.12
  • Filename
    6595850