Multi-robot Cooperative Exploration Based on Geometric-topological Scene Map

Yanqing Wang, Yongquan Li, Wenjun Lu
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Abstract

In view of the advantages and disadvantages of node geometry information and characteristic scene information, this paper proposes multi-robot cooperative exploration based on geometric-topological scene map. Our algorithm adds the geometric information of nodes to the feature scene map, so as to detect and recognize the node loop. Considering the spatial relationship between a single node and different nodes, we use the Hidden Markov Model (HMM) to locate nodes accurately, and use the geometrical-topological feature scene matching method to perform map fusion. The local map fusion of each robot is turned into a problem of geometrical-characteristic scene matching. Finally, the multitask assignment method of market method is used to realize the multi-robot cooperative exploration task on the simulation platform.
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基于几何拓扑场景地图的多机器人协同探索
针对节点几何信息和特征场景信息的优缺点,提出了基于几何拓扑场景地图的多机器人协同探索方法。我们的算法将节点的几何信息加入到特征场景地图中,从而检测和识别节点环路。考虑到单个节点与不同节点之间的空间关系,采用隐马尔可夫模型(HMM)精确定位节点,并采用几何拓扑特征场景匹配方法进行地图融合。将各机器人的局部地图融合问题转化为几何特征场景匹配问题。最后,利用市场方法中的多任务分配方法,在仿真平台上实现了多机器人协同探索任务。
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