Motion planning of obstacle avoidance based on guide style for autonomous mobile robot

When a certain task exists, it is often performed by a method corresponding to the situation and the purpose from various requirements. Although there are many researches on motion planning for obstacle avoidance, there are only few researches investigated about the technique of preparing two or more motion plans corresponding to the situation and the purpose. In this study, the method which can easily describe various guidance styles is introduced, and the system which realizes the motion planning for obstacle avoidance based on the guidance style is constructed.

[1]  Péter Baranyi,et al.  Neuro-fuzzy based vector field model: an unified representation for mobile robot guiding styles , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[2]  László T. Kóczy,et al.  Virtual Training in Immersive Virtual Environment and its Complexity , 2000 .

[3]  Shigeru Okuma,et al.  Motion Planning of Obstacle Avoidance for Autonomous Mobile Robot Using Hierarchical Fuzzy Rules and Learning Automoata , 1996 .

[4]  Hideki Hashimoto,et al.  General guiding model for mobile robots and its complexity reduced neuro-fuzzy approximation , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).