Position estimation techniques for an autonomous mobile robot: a review
Handbook of pattern recognition & computer vision
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
Machine Learning - Special issue on learning in autonomous robots
RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
A relative map approach to SLAM based on shift and rotation invariants
Robotics and Autonomous Systems
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Omni-directional mobile robots are becoming popular for many applications especially in soccer playing robots. Effective control and self-localization of omni-directional mobile robots constitute important and challenging issues. In this work, a simplified model of the system has been derived for fast tuning of the control system parameters. In particular, strategies for fast tuning of PID/PD coefficients for position and orientation control are devised. A vision-based self-localization and the conventional odometry systems have been fused for robust self-localization. The methods have been tested in the RoboCup competition field using three Persia middle size omni-directional robots.