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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National Computer System Engineering Research Institute of China
2018-10-01
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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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