@inproceedings{95306003e3d24c959505b427b21702c3,
title = "Vision-based autonomous robot self-docking and recharging",
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. Copyright - World Automation Congress (WAC) 2006,.",
keywords = "Autonomous navigation, Machine vision, Robot control, Robotic mechanisms",
author = "Uri Kartoun and Helman Stern and Yael Edan and Craig Feied and Jonathan Handler and Mark Smith and Michael Gillam",
year = "2006",
month = jan,
day = "1",
doi = "10.1109/WAC.2006.375987",
language = "English",
isbn = "1889335339",
series = "2006 World Automation Congress, WAC'06",
publisher = "IEEE Computer Society",
booktitle = "2006 World Automation Congress, WAC'06",
address = "United States",
note = "2006 World Automation Congress, WAC'06 ; Conference date: 24-06-2006 Through 26-06-2006",
}