污染环境中自主气体测绘的多机器人系统原型

D. Lupea, I. Szoke, A. Majdik, G. Lazea
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引用次数: 1

摘要

环境监测机器人的需求是由当今与可持续发展有关的趋势所强加的-朝向保护环境和人为因素。这项研究在过去几年受到了极大的关注。下一行将概述这一研究领域的研究方向。它们种类繁多,从用于监测动物农场附近氨污染的机器人,到搜索未爆炸物品或管道和水箱泄漏源的机器人,甚至到收集和分类垃圾的机器人,它在执行其他任务的同时也监测污染。本文描述了一种新的系统,旨在探索危险地点(旧矿山,化工厂等),其中一个自主地面机器人和一个微型无人机(UAV)一起被派去绘制该地区的地图,以检测有毒气体。新方法提出了一种多机器人结构,该结构使用多传感器气体检测测量单元,该单元使用同步定位和测绘(SLAM)算法进行三维自主气体测绘。目前的研究正试图将机器人用于气体检测从室内环境转移到室外环境。基于生态机器人的研究方向和应用领域有很多。
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Prototype of a Multi-Robot System for Autonomous Gas Mapping in Polluted Environments
The need of environmental monitoring robots is imposed by nowadays trends related to sustainability – towards protecting the environment and the human factor. This research received a great amount of focus in the past years. The directions of study in this area of research will be overviewed in the next lines. They are varied and range from robots designed to monitor ammonia pollution near animal farms to robots which search for unexploded ordinance, or sources of leaks from pipes and tanks, and even to a collecting and segregating garbage robot which also monitors pollution while performing its other tasks. This paper describes a novel system that aims to explore dangerous sites (old mines, chemical plants, etc), where an autonomous ground robot and a micro unmanned aerial vehicle (UAV) are sent together to map the area in order to detect toxic gases. The new approach proposes a multi-robot architecture which uses a multi-sensor gas detection measurement unit which uses a Simultaneous Localization and Mapping (SLAM) algorithm for 3D autonomous gas mapping. Current research is trying to shift the use of robots for gas detection from indoor environments towards the outdoors. There can be found several research directions with applications based on ecological robots.
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