In disaster-stricken environments, it's vital to assess the damage quickly, analyse the stability of the environment, and allocate resources to the most vulnerable areas where victims might be present. These missions are difficult and dangerous to be conducted directly by humans. Using the complementary capabilities of both the ground and aerial robots, we investigate a collaborative approach of aerial and ground robots to address this problem. With an increased field of view, faster speed, and compact size, the aerial robot explores the area and creates a 3D feature-based map graph of the environment while providing a live video stream to the ground control station. Once the aerial robot finishes the exploration run, the ground control station processes the map and sends it to the ground robot. The ground robot, with its higher operation time, static stability, payload delivery and tele-conference capabilities, can then autonomously navigate to identified high-vulnerability locations. We have conducted experiments using a quadcopter and a hexapod robot in an indoor modelled environment with obstacles and uneven ground. Additionally, we have developed a low-cost drone add-on with value-added capabilities, such as victim detection, that can be attached to an off-the-shelf drone. The system was assessed for cost-effectiveness, energy efficiency, and scalability.
翻译:在灾难环境下,快速评估损害情况、分析环境稳定性,并将救援资源分配到最脆弱的地区,以便寻找受害者,是至关重要的任务。 由于这些任务危险而困难,因此无法直接由人类完成。我们探讨了一种协作的地面和空中机器人的方法来解决这个问题。通过利用地面和空中机器人的互补性能力,通过提供更大的视野、更快的速度和更小的体积,空中机器人可以探查该区域,并在提供实时视频流的同时创建一个基于二三维特征的地图。一旦空中机器人完成了探索任务,地面控制站就会处理地图并将其发送给地面机器人。地面机器人具有更高的操作时间、固定稳定性、负载传输和远程会议能力,因此可以自主导航到已确认的高脆弱性位置。我们在一个地形复杂的室内环境中使用了四轴和六足机器人进行实验。此外,我们开发了一个低成本的无人机附加件,具有价值增值的能力,例如受害者检测,并可以附加到现成的无人机上。该系统已经进行了成本效益、能源效率和可扩展性等评估。