Title :
Vision-based docking for automatic security robot power recharging
Author :
Luo, Ren C. ; Liao, Cbung T. ; Lin, Kuei C.
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan
Abstract :
The power supply for autonomous mobile robots is an important issue for keeping robots in their long-term functionality. Recharging is necessary before the power of the robot has exhausted. In this paper, we propose a vision-based docking strategy for the security robot recharging. A landmark is detected and recognized by the proposed image processing. Then the geometrical relationship between the robot and the docking station (the depth and orientation) is estimated. The robot moves directly to the right front of the docking station. Finally, the robot approaches to the docking station. Experimental results show that the proposed method successfully performs the docking.
Keywords :
image recognition; mobile robots; robot vision; security; automatic security robot power recharging; autonomous mobile robots; docking station recognition; vision-based docking; Batteries; Humans; Image processing; Machine vision; Mobile robots; Orbital robotics; Power system security; Robot sensing systems; Robot vision systems; Robotics and automation;
Conference_Titel :
Advanced Robotics and its Social Impacts, 2005. IEEE Workshop on
Print_ISBN :
0-7803-8947-6
DOI :
10.1109/ARSO.2005.1511654