Title :
Path planning method for mobile robot based on ant colony optimization algorithm
Author :
Cen, Yuwan ; Song, Choingzhi ; Xie, Nenggang ; Wang, Lu
Author_Institution :
Sch. of Mech. Eng., Anhui Univ. of Technol., Maanshan
Abstract :
A novel path planning approach based on ACO was presented aiming at mobile robots in structured environments. The information of environment constrains and path length was integrated in the fitness function which was computed by neural network, the path nodes were viewed as an ant, so with the quality of optimization of ant colony optimization algorithm, the best path was found. Finally by computer simulation, it is got that the algorithm is rational and can be used in process industry warehouse patrol measurement mobile robot real-time navigation.
Keywords :
mobile robots; optimisation; path planning; ant colony optimization algorithm; computer simulation; fitness function; mobile robots; neural network; path planning method; process industry warehouse patrol measurement; real-time navigation; Ant colony optimization; Artificial neural networks; Computational modeling; Constraint optimization; Genetic algorithms; Heuristic algorithms; Mobile robots; Navigation; Path planning; Space technology; ant colony optimization (ACO); mobile robot; particle swarm optimization algorithm (PSO); path planning; process industry;
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
DOI :
10.1109/ICIEA.2008.4582528
