Multiservicerobot path planning based on improved colony optimization algorithm

ZHANG Jungao, HE Yongyi, FANG Minglun, FENG Xiaowei
(School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)

Abstract: For solving the problem of the multiservicerobot global path planning, the basic colony optimization algorithm was used, the improvement was made to the basic colony optimization algorithm. The composition of the multiservicerobots system was described, the expression of the multiservicerobot systematic environment and the description and definition of the algorithm were studied. The several strategies were given to the basic colony optimization algorithm, and the process was studied that using the improved colony optimization algorithm to make the path planning. Through the simulation and experiment applied in the multiservicerobots system, the result shows that this method can solve the path plannings problem well.
Key words: colony algorithm; multiservicerobot; path planning