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

Haill An, Takashi Yoshino, D. Kashimoto, Masashi Okubo, Yuri Sakai, Takayuki Hamamoto

发表年份
2003
引用次数
10

摘要

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.

关键词

Mobile robotComputer scienceMotion planningDead reckoningRobotNonholonomic systemComputer visionMobile robot navigationConvergence (economics)Artificial intelligence

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