Robotics & Machine Learning Daily News2024,Issue(Jun.24) :1-1.

Four-legged, dog-like robot 'sniffs' hazardous gases in inaccessible environment s

四条腿的狗形机器人在无法进入的环境中“嗅”有害气体

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :1-1.

Four-legged, dog-like robot 'sniffs' hazardous gases in inaccessible environment s

四条腿的狗形机器人在无法进入的环境中“嗅”有害气体

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-噩梦材料或真正的人类最好的朋友?一组研究人员装备了一个类似狗的四足机器人,配备了一个机械手臂,可以从潜在危险的环境中提取空气样本,比如废弃的建筑或火灾。在ACS的《分析化学》上发表其研究报告的团队说,机器人狗会把样本送到一个人那里,这个人会对样本进行潜在的危险化合物检测。虽然该系统需要进一步的完善,但在危险条件下的演示显示了它的潜在价值。在危险的工作场所或火灾等事故发生后,对科学家和技术人员来说,检测空气中的危险化学品是一项重要但非常危险的任务。为了避免人类受到伤害,胡和他的同事正在开发危险气体和挥发性有机化合物(VO Cs)的移动探测系统,他们建造了遥控取样装置,比如无人机和小型遥控船只。该团队最近进入这个机械动物园的是一个类似狗的机器人,背部安装了一个铰接的测试臂。独立控制臂装有三个针式捕集器(NTDs),在机器人地面任务期间,这些捕集器可以在任何一点收集空气样本。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Nightmare material or truly man's best friend? A team of researchers equipped a dog-like quadruped robot with a mechan ized arm that takes air samples from potentially treacherous situations, such as an abandoned building or fire. The robot dog walks samples to a person who scre ens them for potentially hazardous compounds, says the team that published its s tudy in ACS' Analytical Chemistry. While the system needs further refinement, de monstrations show its potential value in dangerous conditions. Testing the air for dangerous chemicals in risky workplaces or after an accident , such as a fire, is an important but very dangerous task for scientists and tec hnicians. To keep humans out of harm's way, Bin Hu and colleagues are developing mobile detection systems for hazardous gases and volatile organic compounds (VO Cs) by building remote-controlled sampling devices like aerial drones and tiny r emotely operated ships. The team's latest entry into this mechanical menagerie i s a dog-like robot with an articulated testing arm mounted on its back. The inde pendently controlled arm is loaded with three needle trap devices (NTDs) that ca n collect air samples at any point during the robot's terrestrial mission.

Key words

American Chemical Society/Emerging Tech nologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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