城市搜救机器人研究的三维距离成像

R. Bostelman, T. Hong, R. Madhavan, B. Weiss
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引用次数: 18

摘要

在灾难响应过程中,城市搜索和救援(USAR)行动对人类救援人员来说可能是极其危险的。人力工作队携带必要的工具和设备,并具备所需的技能和技术,以救援结构倒塌的受害者。人们希望机器人有一天能够满足执行这些任务的要求,从而使救援人员不会有受伤或更糟的风险,而不是将人类救援人员派往这些危险的建筑物。最近,由国防高级研究计划局赞助的国家标准与技术研究所创建了模拟倒塌结构的参考测试场所,以评估自主移动机器人执行USAR任务的性能。与此同时,NIST工业自动驾驶汽车项目一直在研究先进的3D距离传感器,以提高机器人在仓库和制造环境中的安全性。本文讨论了先进的3D距离传感器在USAR操作中对提高机器人在倒塌结构导航和救援操作中的性能的联合应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D range imaging for urban search and rescue robotics research
Urban search and rescue (USAR) operations can be extremely dangerous for human rescuers during disaster response. Human task forces carrying necessary tools and equipment and having the required skills and techniques, are deployed for the rescue of victims of structural collapse. Instead of sending human rescuers into such dangerous structures, it is hoped that robots will one day meet the requirements to perform such tasks so that rescuers are not at risk of being hurt or worse. Recently, the National Institute of Standards and Technology, sponsored by the Defense Advanced Research Projects Agency, created reference test arenas that simulate collapsed structures for evaluating the performance of autonomous mobile robots performing USAR tasks. At the same time, the NIST Industrial Autonomous Vehicles Project has been studying advanced 3D range sensors for improved robot safety in warehouses and manufacturing environments. Combined applications are discussed in this paper where advanced 3D range sensors also show promise during USAR operations toward improved robot performance in collapsed structure navigation and rescue operations.
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