犬类辅助机器人在城市搜救中的部署

Jimmy Tran, A. Ferworn, Martin Gerdzhev, D. Ostrom
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引用次数: 14

摘要

在城市搜索和救援(USAR)行动中,幸存者的搜索必须在救援行动开始之前进行。在废墟中进行搜索的两种方法是训练有素的搜救犬和专门的反应机器人(有时称为救援机器人)。救援机器人被用来收集被困人员的信息,比如在倒塌的建筑物中。来自它们的信息可以帮助急救人员计划和执行救援工作。这些机器人面临的主要挑战是通过挑战碎石表面来限制它们的机动性。虽然目前该领域的研究通过机械设计来解决这一挑战,但良好的解决方案仍然难以捉摸。提出了一种分散响应机器人的新方法——犬类辅助机器人部署(Canine Assisted Robot Deployment, CARD)。CARD的方法利用USAR狗将机器人送到被狗探测到的被困人附近。这种方法利用了犬类的嗅觉和敏捷性找到幸存者的能力。一旦携带小型机器人的狗发现了伤员,机器人就可以放下并开始探索。本文介绍了初步实验和结果。
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Canine Assisted Robot Deployment for Urban Search and Rescue
In Urban Search and Rescue (USAR) operations the search for survivors must occur before rescue operations can proceed. Two methods that can be used to search in rubble are trained search dogs and specialized response robots (sometimes called rescue robots). Rescue robots are used to collect information about trapped people within a disaster like a collapsed building. Information from them can help first responders plan and execute a rescue effort. The main challenge for these robots is the restrictions placed on their mobility by challenging rubble surfaces. While current research in this area attacks this challenge through mechanical design, good solutions remain elusive. This paper presents a new method for dispersing response robots called Canine Assisted Robot Deployment (CARD). CARD's approach utilizes USAR dogs to deliver robots close to a trapped human detected by the dog. This method exploits the canine ability to find survivors using their olfactory sensors and agility. Once a dog carrying a small robot has found a casualty, the robot can be dropped and begin exploring. Initial experiments and results are described in this paper.
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