2A1-G05 Obstacle Avoidance using Particle Control with Potential Method
Satoshi Shimakura, Jingyu Xiang, Shinkichi Inagaki, Tatsuya Suzuki · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2009
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.