Unknown Environment Exploration of Multi-robot Based on Market
ZHAO Huichao
SHI Chaoxia
Abstract：Multi-task assignment is a key problem in multi-robot's collaborative exploration of unknown environment. Tradi-tional market methods sacrifice the overall optimization because of the pursuit of single-robot's optimization. However,the method basing on the partition exploration can achieve the overall optimization,which is not suitable for exploration in the unknown environ-ment. This paper put forward a market approach based on improved the traditional market approach,this method took the number of rejection pheromones in the path through the robot as the condition of winning the auction. The method improves the efficiency of the multi-robot system to complete the environment exploration. What's more,the effectiveness of the algorithm has been verified by ex-periments.
Keywords：multi-robotcooperative explorationmarket-basedrejection of pheromone
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2085-2089 )