低带宽通信下多机器人自主探索的分散拓扑映射

J. Bayer, J. Faigl
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引用次数: 7

摘要

本文研究了一种多机器人在通信非常有限的情况下进行地下环境探测的制图框架。我们专注于多机器人地图的构建和协调,以探索大面积的实时规划到长距离。考虑到通信只能传输100 B/s,因此我们提出了使用两种地形模型的协调规划。第一个模型是一个密集的3D地图,由每个机器人单独建立,以确定可探索的地方,并生成详细的计划,以避免不可穿越的区域。第二个模型是一个全球拓扑图,通过在机器人之间交换微小的12b数据包,以分散的方式构建。该方法的可行性已在现实世界的自主探索任务和DARPA地下挑战赛的虚拟洞穴电路启发的各种多机器人场景中得到验证,同时采用两种不同的分散协调策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized Topological Mapping for Multi-robot Autonomous Exploration under Low-Bandwidth Communication
This paper concerns a mapping framework for multi-robot exploration of underground environments with only very limited communication available. We focus on multi-robot map building and coordination to explore large areas with real-time planning to long distances. The considered communication can broadcast only 100 B/s, and therefore, we propose coordination planning using two terrain models. The first model is a dense 3D map built by each robot individually to identify explorable places and generate detailed plans to avoid un-traversable areas. The second model is a global topological map built in a decentralized manner by exchanging tiny 12 B packets between the robots. The feasibility of the proposed approach has been verified in the real-world autonomous exploration mission and various multi-robot scenarios inspired by a virtual cave circuit of the DARPA Subterranean Challenge while adapting two different decentralized coordination strategies.
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