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Improvement of convergence to goal for wheeled mobile robot using parking motion

We have developed an online path planning algorithm that directs an autonomous mobile robot called a nonholonomic robot to a goal while avoiding obstacles in an uncertain world. The developed autonomous mobile robot runs on two wheels and is equipped with a visual sensor (CCD) camera having a restricted view field. In addition, this robot identifies its self-position with dead-reckoning by a wheel measuring a running distance. We propose an algorithm for the mobile robot that improves the convergence to a goal using a parking motion.