Title :
Real-Time Globally Optimized Path Planning in a Dynamic Environment
Author :
Wu Qingquan ; Zeng Bi
Author_Institution :
Inst. of Artificial Intell., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
This paper presents a novel method for optimal path planning in a dynamic environment. This method employs fuzzy logic to establish a model of the environment and the ant colony system (ACS) algorithm to search for the shortest and collision-free route. The result of the computer simulation shows that the method introduced in this paper is effective, and can be applied to any dynamic environment for real-time globally optimized path planning of mobile robots.
Keywords :
fuzzy logic; mobile robots; path planning; ant colony system algorithm; collision-free route; fuzzy logic; mobile robots; real-time globally optimized path planning; shortest route; Ant colony optimization; Artificial intelligence; Automation; Computer simulation; Fuzzy logic; Mobile robots; Optimization methods; Orbital robotics; Paper technology; Path planning; Ant Colony (ACS) algorithm; Dynamic Environment; Fuzzy Logic; Mobile Robots; Real-time Globally Optimal Path Planning;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.530
