Title :
A Rescue Robot Path Planning Based on Ant Colony Optimization Algorithm
Author :
Zhang, Xiaoyong ; Wu, Min ; Peng, Jun ; Jiang, Fu
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
This paper addressed a robot path planning algorithm based on improved ant colony optimization. The ant colony algorithm is used for a global path planning in robot rescue. A target attracting function is introduced to guide the searching process which can improve the search quality of ant colony algorithm in the complex and dynamic environment. The affectivity of proposed algorithm is verified in a standard test bed, RoboCupRescue simulation system.
Keywords :
mobile robots; optimisation; path planning; RoboCupRescue simulation system; ant colony optimization; global path planning; rescue robot; target attracting function; Ant colony optimization; Cities and towns; Information technology; Intelligent robots; Layout; Mobile robots; Orbital robotics; Path planning; Probability distribution; Roads; ACO; Path Planning; RoboCupRescue;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.177
