论文标题
使用四倍的机器人在城市环境中的自主社会距离
Autonomous Social Distancing in Urban Environments using a Quadruped Robot
论文作者
论文摘要
Covid-19-大流行已成为全世界人民面临的全球挑战。事实证明,社会距离是减少19日传播的有效实践。在此背景下,我们建议监视机器人不仅可以监视,而且可以促进社会疏远。机器人可以灵活部署,他们可以采取预防措施,以提醒人们实践社会疏远。在本文中,我们介绍了一个完全自主的监视机器人,该机器人基于一个四倍的平台,可以在复杂的城市环境中促进社会疏远。具体来说,为了实现自治,我们在腿部机器人上安装了多个摄像头和3D激光镜头。然后,机器人使用车载实时的社交距离检测系统来跟踪附近的行人群体。接下来,机器人使用人群感知的导航算法在高度动态的情况下自由移动。机器人最终使用人群感知的路由算法来通过使用人类友好的口头提示向拥挤的行人发送建议,从而有效地促进社会疏远。我们证明并验证我们的机器人可以通过在各种城市场景中进行多个实验来自主操作。
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 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.