The paper presents a presents a framework for fire extinguishing in an urban scenario by a team of aerial and ground robots. The system was developed for the Challenge 3 of the 2020 Mohamed Bin Zayed International Robotics Challenge (MBZIRC). The challenge required to autonomously detect, locate and extinguish fires in different floors of a building, as well as in the surroundings. The multi-robot system developed consists of a heterogeneous robot team of up to three Unmanned Aerial Vehicles (UAV) and one Unmanned Ground Vehicle (UGV). The paper describes the main hardware and software components for UAV and UGV platforms. It also presents the main algorithmic components of the system: a 3D LIDAR-based mapping and localization module able to work in GPS-denied scenarios; a global planner and a fast local re-planning system for robot navigation; infrared-based perception and robot actuation control for fire extinguishing; and a mission executive and coordination module based on Behavior Trees. The paper finally describes the results obtained during competition, where the system worked fully autonomously and scored in all the trials performed. The system contributed to the third place achieved by the Skyeye team in the Grand Challenge of MBZIRC 2020.
翻译:本文介绍了一组空中和地面机器人在城市情景下灭火的框架,该系统是为2020年Mohamed Bin Zayed国际机器人挑战挑战3开发的,是自动检测、定位和扑灭建筑物不同楼层以及周围火灾所需的挑战,开发的多机器人系统由一个由最多三部无人驾驶航空飞行器和一部无人驾驶地面飞行器组成的混合机器人小组组成,本文介绍了无人驾驶飞行器和一部无人驾驶地面飞行器的主要硬件和软件组件,还介绍了该系统的主要算法组成部分:3DLIDAR基于LIDAR的绘图和本地化模块,能够在GPS断层情景下工作;全球机器人导航规划仪和快速本地再规划系统;红外线感知和灭火机器人启动控制;以及以Behavior Trets为基础的飞行任务执行和协调模块。本文件最后介绍了在竞争期间获得的结果,该系统在2020年所有SkyFreistrationC测试中完全自主地运行和得分。