Autonomous Social Distancing in Urban Environments Using a Quadruped Robot

被引:21
|
作者
Chen, Zhiming [1 ]
Fan, Tingxiang [2 ]
Zhao, Xuan [3 ]
Liang, Jing [4 ]
Shen, Cong [5 ]
Chen, Hua [1 ]
Manocha, Dinesh [4 ]
Pan, Jia [2 ]
Zhang, Wei [1 ]
机构
[1] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China
[2] Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
[3] City Univ Hong Kong, Dept Biomed Engn, Hong Kong, Peoples R China
[4] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
[5] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China
来源
IEEE ACCESS | 2021年 / 9卷
基金
中国国家自然科学基金;
关键词
Robots; Collision avoidance; Social factors; Human factors; Surveillance; Laser radar; Cameras; robotics and automation; human robot interaction; GENDER; REGISTRATION; PERSONALITY; MODEL;
D O I
10.1109/ACCESS.2021.3049426
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:8392 / 8403
页数:12
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