Title :
Research on path planning for mobile robot based on ant colony algorithm in dynamic environment
Author :
Yu, Yang ; Gao, Hongwei ; Wang, David
Author_Institution :
Fac. of Inf. Sci.&Eng., Shenyang Ligong Univ., Shenyang
Abstract :
This paper introduced the basic principles of the ant algorithm. On this basis, the method of dynamic mobile robot path planning based on ant algorithm is also proposed. Finally, the algorithm is certificated by Visual C++ simulation. It has a certain sense to solve the optimization problem that ant algorithm is applied to the mobile robot path planning.
Keywords :
C++ language; mobile robots; optimisation; path planning; ant colony algorithm; dynamic mobile robot; optimization problem; path planning; visual C++ simulation; Aggregates; Feedback; Heuristic algorithms; Information science; Lattices; Mobile robots; Neural networks; Path planning; Roads; Uncertainty;
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.2008.4582565
