The pieces of information that are being collected from regions of disaster is critical as the rapid deployment of the first responders rely on them. Another critical part of that deployment is the acquisition of different types of information (visual, sounds, and others). Even with that information the rescuing teams still face the difficult task of rescuing humans under debris. Some of the constraints that make this task harder are the wrecked building’s unknown structure, time limitation, the difficulty to collect information under the debris and more. An important issue is the accurate collection of information beneath destroyed structures and the 3D representation of the space and the correct location of the human subject under the debris. This paper deals with the design and the capabilities of a ground bio-inspired micro-robot, called Tzitziki, capable to select visual and audio information beneath destroyed buildings and locate human subjects in areas (like deep underground cavities), the reconstruction of the underground cavities and the synergistic collaboration of drones, micro-robots and human first responders. Illustrative examples are provided proving the concept.

中文翻译：

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智慧城市——在灾难地区检测人类：无人机、地下隧道中的微型机器人的协同作用

从灾区收集的信息至关重要，因为第一响应者的快速部署依赖于这些信息。该部署的另一个关键部分是获取不同类型的信息（视觉、声音等）。即使有了这些信息，救援队仍然面临着在废墟下救援人类的艰巨任务。使这项任务变得更加困难的一些限制因素是被毁建筑物的未知结构、时间限制、在碎片下收集信息的难度等等。一个重要的问题是准确收集被毁结构下方的信息，以及空间的 3D 表示以及人类主体在碎片下方的正确位置。本文涉及地面仿生微型机器人的设计和功能，名为 Tzitziki，能够选择被毁建筑物下方的视觉和音频信息，并在区域（如深地下洞穴）中定位人类受试者，地下洞穴的重建以及无人机、微型机器人和人类急救人员的协同协作。提供了说明性示例来证明该概念。