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How Much Worth Is Coordination of Mobile Robots for Exploration in Search and Rescue?

机译:在寻找和救援中探索的移动机器人协调有多少价值?

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Exploration of unknown environments is an enabling task for several applications, including map building and search and rescue. It is widely recognized that several benefits can be derived from deploying multiple mobile robots in exploration, including increased robustness and efficiency. Two main issues of multirobot exploration are the exploration strategy employed to select the most convenient observation locations the robots should reach in a partially known environment and the coordination method employed to manage the interferences between the actions performed by robots. From the literature, it is difficult to assess the relative effects of these two issues on the system performance. In this paper, we contribute to filling this gap by studying a search and rescue setting in which different coordination methods and exploration strategies are implemented and their contributions to an efficient exploration of indoor environments are comparatively evaluated. Although preliminary, our experimental data lead to the following results: the role of exploration strategies dominates that of coordination methods in determining the performance of an exploring multirobot system in a highly structured indoor environment, while the situation is reversed in a less structured indoor environment.
机译:未知环境的探索是几个应用程序的启用任务,包括地图建筑和搜索和救援。众所周知,可以从勘探中部署多个移动机器人的几个好处,包括增加鲁棒性和效率。多罗频勘探的两个主要问题是用于选择最方便的观察位置的勘探策略,机器人应该达到部分已知的环境和用于管理机器人所执行的动作之间的干扰的协调方法。从文献中,很难评估这两个问题对系统性能的相对影响。在这篇论文中,我们通过研究搜索和救援方法来填补这种差距,其中实施了不同的协调方法和勘探策略,并且它们对室内环境的有效探索的贡献相对评价。虽然初步,我们的实验数据导致以下结果:勘探策略的作用主导了协调方法在确定探索多利筒系统在高度结构化的室内环境中的性能方面,而这种情况在较少结构化的室内环境中逆转。

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