DocumentCode :
2925739
Title :
Vision-Based Autonomous Robot Self-Docking and Recharging
Author :
Kartoun, Uri ; Stern, Helman ; Edan, Yael ; Feied, Craig ; Handler, Jonathan ; Smith, Mark ; Gillam, Michael
Author_Institution :
Ben-Gurion Univ. of the Negev, Beer-Sheva
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a method for autonomous recharging of a mobile robot, a necessity for achieving long-term robotic activity without human intervention. A recharging station is designed consisting of a stationary docking station and a docking mechanism mounted to an ER-1 Evolution Robotics robot. The docking station and docking mechanism serve as a dual-power source, providing a mechanical and electrical connection between the recharging system of the robot and a laptop placed on it. Docking strategy algorithms use vision based navigation. The result is a significantly low-cost, high-entrance angle tolerant system. Iterative improvements to the system, to resist environmental perturbations and implement obstacle avoidance, ultimately resulted in a docking success rate of 100 percent over 50 trials.
Keywords :
mobile robots; navigation; power supplies to apparatus; robot vision; angle tolerant system; autonomous recharging; autonomous robot; evolution robotics robot; mobile robot; self-docking; vision based navigation; Hospitals; Humans; Infrared detectors; Mobile robots; Navigation; Robot control; Robot vision systems; Robotic assembly; Robotics and automation; Switches; Robotic mechanisms; autonomous navigation; machine vision; robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.375987
Filename :
4259903
Link To Document :
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