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arXiv 2212.09354cs.RO
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德国救援机器人中心任务组部署机器人辅助灾害响应的经验教训

Lessons from Robot-Assisted Disaster Response Deployments by the German Rescue Robotics Center Task Force

University of Applied Science, Gelsenkirchen (WHS)(盖尔森基兴应用科学大学);German Research Center for Artificial Intelligence (DFKI)(德国人工智能研究中心);TU Darmstadt (TUDA)(达姆施塔特工业大学);TU Dortmund (TUDO)(多特蒙德工业大学);University of Bonn (UBO)(波恩大学);German Rescue Robotics Center (DRZ)(德国救援机器人中心)
Hartmut Surmann, Ivana Kruijff-Korbayova, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Manuel Patchou, Stefan Boecker, Christian Wietfeld, Jan Quenzel, Danie… 展开作者

Hartmut Surmann, Ivana Kruijff-Korbayova, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Manuel Patchou, Stefan Boecker, Christian Wietfeld, Jan Quenzel, Daniel Schleich, Sven Behnke, Robert Grafe, Nils Heidemann, Dominik Slomma

摘要:

地震、火灾和洪水经常造成建筑物的结构性倒塌。然而,对受损建筑物的检查对紧急部队来说风险很高,甚至是不可能的。我们介绍了德国救援机器人中心机器人工作队最近选定的三个任务,地面和空中机器人都被用来探索被摧毁的建筑物。我们描述和反映了这些任务以及从中吸取的经验教训。为了使研究实验室的机器人适合实际操作,为室外和室内使用建立了逼真的测试环境,并在研究人员和应急部队的定期演习中进行测试。基于这些经验,机器人及其控制软件得到了显著改进。此外,还组建了由研究人员和第一反应人员组成的顶级团队,每个团队都对机器人系统的操作和实际适用性进行了现实的评估。

英文摘要:

Earthquakes, fire, and floods often cause structural collapses of buildings. The inspection of damaged buildings poses a high risk for emergency forces or is even impossible, though. We present three recent selected missions of the Robotics Task Force of the German Rescue Robotics Center, where both ground and aerial robots were used to explore destroyed buildings. We describe and reflect the missions as well as the lessons learned that have resulted from them. In order to make robots from research laboratories fit for real operations, realistic test environments were set up for outdoor and indoor use and tested in regular exercises by researchers and emergency forces. Based on this experience, the robots and their control software were significantly improved. Furthermore, top teams of researchers and first responders were formed, each with realistic assessments of the operational and practical suitability of robotic systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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