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Autonomous Social Distancing in Urban Environments Using a Quadruped Robot

机译:使用四足机器人的城市环境中自主社会偏移

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Corona Virus Disease 2019 (COVID-19) pandemic has become a global challenge faced by people all over the world. Social distancing has been proved to be an effective practice to reduce the spread of COVID-19. Against this backdrop, we propose that the surveillance robots can not only monitor but also promote social distancing. Robots can be flexibly deployed and they can take precautionary actions to remind people of practicing social distancing. In this paper, we introduce a fully autonomous surveillance robot based on a quadruped platform that can promote social distancing in complex urban environments. Specifically, to achieve autonomy, we mount multiple cameras and a three dimensional light detection and ranging sensor (3D LiDAR) on the legged robot. The robot then uses an onboard real-time social distancing detection system to track nearby pedestrian groups. Next, the robot uses a crowd-aware navigation algorithm to move freely in highly dynamic scenarios. The robot finally uses a crowd-aware routing algorithm to effectively promote social distancing by using human-friendly verbal cues to send suggestions to over-crowded pedestrians. We demonstrate and validate that our robot can be operated autonomously by conducting several experiments in various urban scenarios.
机译:2019年(Covid-19)大流行已成为世界各地人民面临的全球挑战。社会偏移被证明是减少Covid-19传播的有效做法。在此背景下,我们建议监控机器人不仅可以监控,还可以促进社会疏远。机器人可以灵活地部署,他们可以采取预防行动来提醒人们练习社会疏远。在本文中,我们介绍了<斜体XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”>完全自主语监控机器人基于四足平台,可以促进复杂的城市环境中的社会偏差。具体而言,为了实现自治,我们在腿机器人上安装多个摄像机和三维光检测和测距传感器(3D LIDAR)。然后,机器人使用板载实时社交偏移检测系统来跟踪附近的行人组。接下来,机器人使用人群感知的导航算法在高度动态方案中自由移动。机器人最终使用人群感知的路由算法通过使用人类友好的口头线索来有效地促进社会偏移,以向过度拥挤的行人发送建议。我们展示并验证我们的机器人可以通过在各种城市情景中进行几个实验来自主运作。

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