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2A1-G05 Obstacle Avoidance using Particle Control with Potential Method

Satoshi Shimakura, Jingyu Xiang, Shinkichi Inagaki, Tatsuya Suzuki

Year
2009
Citations
2
Access
Open access

Abstract

Recently, the demand for mobile robot which works in a complex environment is growing in many fields. Consideration of the statistical uncertainty of the observation and the locomotion is an important issue to be addressed in the control of mobile robot. This paper presents a new planning strategy which combines a Particle control and Potential method. The proposed scheme enables the robot to plan the path online considering the statistical uncertainty of the observation and the locomotion. Then, some simulation results are shown to verify the usefulness of the proposed method from viewpoint of a robustness against uncertainty.

Keywords

Obstacle avoidanceMobile robotRobustness (evolution)Computer scienceObstacleMotion planningRobotScheme (mathematics)Particle filterControl (management)

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