Title :
A Hybrid Method in Informed Search: Fuzzy Simplified Memory-Bounded A* Approach
Author_Institution :
Dept. of Comput. Eng., Univ. Islamic Azad of Shirvan Branch, Mashhad, Iran
Abstract :
In this paper, two methods are explained for robot´s navigation and planning. Applying fuzzy logic and optimized searching SMA*, this compound method causes adaptive behavior in navigation. Also in big environments, it provides coming back with economizing on memory and memorizing the path - from starting point to target. Using fuzzy logic leads to a flexible behavior with least mistake of the navigator robot (target tracker). These two methods are compared and the method FSMA*has proved better results.
Keywords :
fuzzy control; graph theory; mobile robots; path planning; search problems; FSMA* method; adaptive behavior; fuzzy logic; fuzzy simplified memory bounded A* approach; informed search; navigator robot; optimized searching SMA*; robot navigation; SMA*; fuzzy; hybrid method; informed search;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4244-8653-3
Electronic_ISBN :
978-0-7695-4254-6
DOI :
10.1109/CICN.2010.32
