The navigation method and experimental research of air-ground robot cooperation

Ground mobile robots and airborne robots have the obvious superiority of complementing each other, which plays an important role in improving the completion of missions. Therefore, more researchers have paid attention to those research in recent years. A typical model of the collaboration of air-gro...

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Main Authors: Liu Yi, Che Jin, Zhu Xiaobo, Hang Li, Hao Zhiyang
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2018-10-01
Series:Dianzi Jishu Yingyong
Subjects:
Online Access:http://www.chinaaet.com/article/3000092885
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spelling doaj-78b99266e95c410a8506f79baf725a172020-11-25T02:37:50ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982018-10-01441014414810.16157/j.issn.0258-7998.1800653000092885The navigation method and experimental research of air-ground robot cooperationLiu Yi0Che Jin1Zhu Xiaobo2Hang Li3Hao Zhiyang4School of Physics and Electronic-Electrical Engineeing,Ningxia University,Yinchuan 750021,ChinaSchool of Physics and Electronic-Electrical Engineeing,Ningxia University,Yinchuan 750021,ChinaSchool of Physics and Electronic-Electrical Engineeing,Ningxia University,Yinchuan 750021,ChinaSchool of Physics and Electronic-Electrical Engineeing,Ningxia University,Yinchuan 750021,ChinaSchool of Physics and Electronic-Electrical Engineeing,Ningxia University,Yinchuan 750021,ChinaGround mobile robots and airborne robots have the obvious superiority of complementing each other, which plays an important role in improving the completion of missions. Therefore, more researchers have paid attention to those research in recent years. A typical model of the collaboration of air-ground robot is to provide the ground robot with path guidance information through the wide-range environmental awareness of the air robot. So firstly, a ground-based robot collaboration platform is established and the ground environment is perceived and identified by using airborne visual sensing information. Then, the path planning algorithm is used to plan the path and streamline the instructions. Finally, the ground robot performs machine vision tasks. The success rate of the experimental verification results is more than 80%, which verifies the feasibility of the method.http://www.chinaaet.com/article/3000092885air-ground robotsthreshold segmentationroute planembeddedcollaboration platform
collection DOAJ
language zho
format Article
sources DOAJ
author Liu Yi
Che Jin
Zhu Xiaobo
Hang Li
Hao Zhiyang
spellingShingle Liu Yi
Che Jin
Zhu Xiaobo
Hang Li
Hao Zhiyang
The navigation method and experimental research of air-ground robot cooperation
Dianzi Jishu Yingyong
air-ground robots
threshold segmentation
route plan
embedded
collaboration platform
author_facet Liu Yi
Che Jin
Zhu Xiaobo
Hang Li
Hao Zhiyang
author_sort Liu Yi
title The navigation method and experimental research of air-ground robot cooperation
title_short The navigation method and experimental research of air-ground robot cooperation
title_full The navigation method and experimental research of air-ground robot cooperation
title_fullStr The navigation method and experimental research of air-ground robot cooperation
title_full_unstemmed The navigation method and experimental research of air-ground robot cooperation
title_sort navigation method and experimental research of air-ground robot cooperation
publisher National Computer System Engineering Research Institute of China
series Dianzi Jishu Yingyong
issn 0258-7998
publishDate 2018-10-01
description Ground mobile robots and airborne robots have the obvious superiority of complementing each other, which plays an important role in improving the completion of missions. Therefore, more researchers have paid attention to those research in recent years. A typical model of the collaboration of air-ground robot is to provide the ground robot with path guidance information through the wide-range environmental awareness of the air robot. So firstly, a ground-based robot collaboration platform is established and the ground environment is perceived and identified by using airborne visual sensing information. Then, the path planning algorithm is used to plan the path and streamline the instructions. Finally, the ground robot performs machine vision tasks. The success rate of the experimental verification results is more than 80%, which verifies the feasibility of the method.
topic air-ground robots
threshold segmentation
route plan
embedded
collaboration platform
url http://www.chinaaet.com/article/3000092885
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