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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kartoun, U. Stern, H. Edan, Y. Feied, C. Handler, J. Smith, M. Gillam, M. |
| Copyright Year | 2006 |
| Description | Author affiliation: Ben-Gurion Univ. of the Negev, Beer-Sheva (Kartoun, U.; Stern, H.; Edan, Y.) |
| 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. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 5199501 |
| Page Count | 8 |
| File Format | |
| ISBN | 1889335339 |
| DOI | 10.1109/WAC.2006.375987 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-24 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | TSI Press |
| Subject Keyword | Robot vision systems Mobile robots Hospitals Navigation Humans Robot control Infrared detectors Robotic assembly Robotics and automation Switches machine vision Robotic mechanisms robot control autonomous navigation |
| Content Type | Text |
| Resource Type | Article |
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