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.
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