首页 /研究 /Indoor and Outdoor Positioning and Navigation Based on A Cloud Robot
LOCOMOTION

Indoor and Outdoor Positioning and Navigation Based on A Cloud Robot

Jiangmao Zheng, Junyong Chen, Yuansheng Li, Meng Li, Liwen Jing

发表年份
2021
引用次数
3

摘要

Facing the enduring COVID-19 pandemic, Internet of Things and mobile robots have played an important role in the control of the spread of coronavirus in enterprises, campuses, and in the transportation of Fangcang hospitals. However, mainstream mobile robots still have unsatisfactory performance in indoor and outdoor positioning and navigation in terms of the processing environment, overburdened computing power, and insufficient positioning accuracy. This paper proposes a cloud computing framework based on a quadruped robot for indoor and outdoor hybrid positioning. The purpose is to broaden the application of mobile robots in Internet of Things, such as operating in complex terrain with stairs, slopes, indoor, outdoor, and etc.

关键词

RobotMobile robotTerrainComputer scienceStairsCloud computingMainstreamReal-time computingGlobal Positioning SystemInternet of Things

相关论文

查看 LOCOMOTION 分类全部论文