Online self-calibration for mobile robots
- 20 January 2003
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 2292-2297 vol.3
- https://doi.org/10.1109/robot.1999.770447
Abstract
This paper proposes a statistical method for calibrating the odometry of mobile robots. In contrast to previous approaches, which require explicit measurements of actual motion when calibrating a robot's odometry, the algorithm proposed here uses the robot's sensors to automatically calibrate the robot as it operates. An efficient, incremental maximum likelihood algorithm enables the robot to adapt to changes in its kinematics online, as they occur. The appropriateness of the approach is demonstrated in two large-scale environments, where the amount of odometric error is reduced by an order of magnitude.Keywords
This publication has 12 references indexed in Scilit:
- Concurrent localisation and map building for mobile robots using ultrasonic sensorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Internal correction of dead-reckoning errors with the smart encoder trailerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Precise positioning using model-based mapsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A hybrid collision avoidance method for mobile robotsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active mobile robot localization by entropy minimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Experiences with an interactive museum tour-guide robotArtificial Intelligence, 1999
- Learning metric-topological maps for indoor mobile robot navigationArtificial Intelligence, 1998
- A Probabilistic Approach to Concurrent Mapping and Localization for Mobile RobotsMachine Learning, 1998
- Introduction to RoboticsPublished by Springer Science and Business Media LLC ,1989
- Sonar-based real-world mapping and navigationIEEE Journal on Robotics and Automation, 1987