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
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;
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650473