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计算机应用研究 2013
Research on exploration strategy in map building of swarm roboticsbased on model of division of labor
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Abstract:
Inspiring of division labor of the social insect, this paper proposed an exploration strategy of mapping in swarm robotics to improve the map building efficiency of swarm robot. When the robot found the paths not visited on vertex position, it would randomly chose an unvisited path to access. If all the paths of the current location had been visited, it designed the response function of algorithm in terms of the model of division labor and robots selected the next position according to the given probability. The simulation experiment set up various numbers of vertexes in map and the numbers of robots according to the evaluation metrics which included total coverage time, path repeat coverage time, rate of coverage and so on. This paper evaluated and compared the experimental results with random selection algorithm. The results show that the algorithm is efficient. At last, it put forward the further research.