Host: Japan SOciety for Fuzzy Theory and intelligent informatics
Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"
Path planning for an autonomous mobile robot is very important for route navigation. This paper describes a smooth path generation method for an autonomous mobile robot. To achieve smooth path even in a high-speed situation, we employ omni-directional image and laser range profile data to generate an appropriate path based on a clothoidal curve. The generated clothoidal path can minimize the effect of lateral force. The validity of the proposed method is verified by both simulations and actual implementation.