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A distributed approach for road clearance with multi-robot in urban search and rescue environment

机译:一个分布式的方法清理道路多机器人在城市搜索和救援环境

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In urban search and rescue domains, robots explore the affected terrain to search and assist disaster victims. RoboCup Rescue simulation provides a platform for disaster management where heterogeneous field agents (fire-brigade agent, ambulance agent, and police force agent) collaborate to manage a mimicked calamity situation. The role of police force agents is crucial, as they clear the blocked roads to allow other agents to perform their tasks. In this paper we suggest a distributed multi-robot coordination approach for clearing a road blocked with heavy obstacles. The proposed framework is implemented and simulated in ARGoS, a multi-robot simulator. The experimental results show the validity and satisfactory performance of the proposed approach.
机译:在城市搜救领域,机器人探索受影响的地形搜索和帮助灾难的受害者。为灾害管理提供了一个平台异构域代理(消防队代理,救护车代理,和警察代理)合作管理模拟灾难的情况。至关重要的,因为它们清楚封锁道路允许其他代理来执行他们的任务。我们建议一个分布式多机器人协调的方法清除道路阻塞着沉重的障碍。在ARGoS和模拟,实现多机器人模拟器。有效性和令人满意的性能建议的方法。

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