Title :
Omni-directional visual servoing for human-robot interaction
Author :
Chang, Peng ; Hebert, Martial
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We describe a visual servoing system developed as a human-robot interface to drive a mobile robot toward any chosen target. An omni-directional camera is used to get the 360 degree of field of view, and an efficient tracking technique is developed to track the target. The use of the omni-directional geometry eliminates, many of the problems common in visual tracking and makes the use of visual servoing a practical alternative for robot-human interaction. The experiments demonstrate that it is an effective and robust way to guide a robot. In particular the experiments show robustness of the tracker to loss of template, vehicle motion, and change in scale and orientation
Keywords :
geometry; image motion analysis; image sensors; mobile robots; robot vision; target tracking; human-robot interaction; omni-directional camera; omni-directional geometry; omni-directional visual servoing; robot-human interaction; Cameras; Communication system control; Computational geometry; Image reconstruction; Mobile robots; Robot control; Robot vision systems; Robustness; Target tracking; Visual servoing;
Conference_Titel :
Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-4465-0
DOI :
10.1109/IROS.1998.724858