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The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

Authors :
Liu, Tianyu
Liao, Qinghai
Gan, Lu
Ma, Fulong
Cheng, Jie
Xie, Xupeng
Wang, Zhe
Chen, Yingbing
Zhu, Yilong
Zhang, Shuyang
Chen, Zhengyong
Liu, Yang
Xie, Meng
Yu, Yang
Guo, Zitong
Li, Guang
Yuan, Peidong
Han, Dong
Chen, Yuying
Ye, Haoyang
Jiao, Jianhao
Yun, Peng
Xu, Zhenhua
Wang, Hengli
Huang, Huaiyang
Wang, Sukai
Cai, Peide
Sun, Yuxiang
Liu, Yandong
Wang, Lujia
Liu, Ming
Source :
IEEE Robotics and Automation Magazine, 2021
Publication Year :
2020

Abstract

Since early 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly across the world. As at the date of writing this article, the disease has been globally reported in 223 countries and regions, infected over 108 million people and caused over 2.4 million deaths (https://covid19.who.int/, accessed on Feb. 17, 2021). Avoiding person-to-person transmission is an effective approach to control and prevent the pandemic. However, many daily activities, such as transporting goods in our daily life, inevitably involve person-to-person contact. Using an autonomous logistic vehicle to achieve contact-less goods transportation could alleviate this issue. For example, it can reduce the risk of virus transmission between the driver and customers. Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e.g., retail, catering) during the pandemic, which causes inconveniences for human daily life. Autonomous vehicle can deliver the goods bought by humans, so that humans can get the goods without going out. These demands motivate us to develop an autonomous vehicle, named as Hercules, for contact-less goods transportation during the COVID-19 pandemic. The vehicle is evaluated through real-world delivering tasks under various traffic conditions.

Details

Database :
arXiv
Journal :
IEEE Robotics and Automation Magazine, 2021
Publication Type :
Report
Accession number :
edsarx.2004.07480
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/MRA.2020.3045040