Sensor‐based self‐localization for wheeled mobile robots
- 1 March 1995
- journal article
- research article
- Published by Wiley in Journal of Robotic Systems
- Vol. 12 (3) , 163-176
- https://doi.org/10.1002/rob.4620120302
Abstract
In this article, we demonstrate a reliable, robust, and computationally efficient algorithm that uses inexpensive hardware to localize a mobile robot in a rather structured environment that is relatively consistent to an a priori map. Furthermore, the incorporation of thresholding makes possible the localization of the robot even in the presence of objects not depicted in the a priori map. An Extended Kalman Filter is used to combine dead‐reckoning, ultrasonic, and infrared sensor data to estimate current position and orientation. Implementation issues and experimental results from experience with a mobile robot, Nomad 200, are also presented. ©1995 John Wiley & Sons, Inc.Keywords
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