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

机译:具有全球网络保护功能的一大批机器人的自我部署策略,可在危险环境中协助救援人员

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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部署策略,该策略能够在未知的结构化建筑环境中探查和识别受害者,同时保留用于信息交换的全球网络互连性。该策略分两个阶段进行:自动移位将机器人群从一个房间移到另一个房间,以及自动分散和聚集以在每个房间进行探索和覆盖。分散的控制由分散的节点控制支配分散和聚合以及分散的连接性控制建立,以确保全局网络的保存。自部署策略显着减少了机器人的数量,同时增加了其探索和覆盖的能力。仿真结果说明了在探索,搜索和救援服务中机器人群的技术方面。

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