The paper presents a framework for fire extinguishing in an urban scenario by a team of aerial and ground robots. The system was developed to address Challenge 3 of the 2020Mohamed Bin Zayed International Robotics Challenge (MBZIRC). The challenge required to autonomously detect, locate and extinguish fires on different floors of a building, as well as in its 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). We describe the main hardware and software components for UAV and UGVplatforms and also present 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 the competition, where the system worked fully autonomously and scored in all the trials performed. The presented system ended in 7th position out of 20 teams in the Challenge3 competition and in 5th position (out of 17 teams) in the Challenge 3 entry to the Grand Finale (Grand Challenge) of MBZIRC 2020 competition.
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,开发该系统是为了应对2020年Mohamed Bin Zayed国际机器人挑战挑战3的挑战,这是在建筑物不同楼层及其周围自动探测、定位和灭火所需的挑战。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(UAV)和一部无人驾驶地面飞行器(UGV)组成的混合机器人小组组成。我们介绍了无人驾驶飞行器和无人驾驶地面飞行器(UGV)的主要硬件和软件组成部分,并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否认的假设情景下工作;全球机器人导航规划器和快速本地再规划系统;红外感和机器人灭火操作控制;以及以Behavior树(UGVV)为基础的任务执行和协调模块。我们最后描述了在竞赛期间获得的结果,该系统在17个挑战区域(GreaRC)进入所有第5次挑战小组的第5次试验中完全自主运行和得分。