Title :
A self-organizing environmental potential field model based on fuzzy neural networks
Author :
Zeng, Bi ; Yang, Yi-Min ; Su, Zhen-wen
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
Abstract :
Aim at an autonomous mobile robot dynamics planning, this paper proposes a method to construct the dynamic environment potential field model to realize the autonomous mobile robot dynamics planning, and employ fuzzy neural network to tune potential field parameters to overcome the artificial potential field problems of the local minima. Simulation results show that the proposed method is not only effective in realizing optimal path planning, but also provides an effective action planning method which combine the traditional planning and the adaptive optimization technology based on the experience.
Keywords :
fuzzy neural nets; mobile robots; optimisation; path planning; robot dynamics; self-adjusting systems; adaptive optimization; autonomous mobile robot dynamics planning; fuzzy neural networks; self-organizing environmental potential field; Cybernetics; Fuzzy logic; Fuzzy neural networks; Intelligent robots; Machine learning; Mobile robots; Navigation; Orbital robotics; Path planning; Technology planning; Artificial potential field; Fuzzy neural network; Mobile robots; Planning;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620704