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Self-deployment strategy for a swarm of robots with global network preservation to assist rescuers in hazardous environments

机译:具有全球网络保存的机器人群体的自我部署策略,以帮助救援人员在危险环境中

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In this paper, we present a self-deployment strategy for a swarm of robots that is capable of exploring and identifying victims in an unknown structured building environment while preserving a global network interConnectivity for information exchange. The strategy are conducted in two phases: self-displacement shifting the robotic swarm from room to room, and self-dispersion and aggregation for exploration and coverage in each room. A decentralised control is built up by decentralised node control governing the dispersion and aggregation and decentralised connectivity control guaranteeing the global network preservation. The self-deployment strategy reduces significantly number of the robots while increasing its capacity of exploration and coverage. The simulation results illustrate technical aspects of the robotic swarm with the application of exploration, search and rescue services.
机译:在本文中,我们为一群机器人提供了一种自我部署策略,该机器人能够在未知的结构化建筑环境中探索和识别受害者,同时保留全球网络互连进行信息交换。该策略分为两阶段进行:自偏移将机器人群从房间转移到房间,以及每个房间的勘探和覆盖的自我分散和聚集。分散的节点控制由分散和聚合和分散连接控制保证全球网络保存的分散和聚合和分散的连接控制构建了分散控制。自我部署策略在增加其勘探和覆盖能力的同时减少了机器人的大量数量。仿真结果说明了具有探索,搜索和救援服务的机器人群的技术方面。

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