Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Formation System of Mobile Robot Based on Vision Location

Authors
Junfeng Shuai, Feng Yu, Bingbing Yan, Xiaoming Feng
Corresponding Author
Junfeng Shuai
Available Online May 2016.
DOI
10.2991/wartia-16.2016.196How to use a DOI?
Keywords
mobile robot, global localization, formation strategy.
Abstract

In this paper, a formation system of mobile robot based on vision location is designed. The system is composed of intelligent mobile robot, vision location computation, wireless communication system and formation control strategy. The global localization of the mobile robot is carried out by the camera, the circles of different sizes in the top of mobile robot are identified by computer, the image coordinates of each mobile robot are obtained and the number of the image coordinates of each mobile robot is given. After the coordinates and the number of each vehicle are obtained by the leader robot, the rest of the mobile robots are arranged in a corresponding shape by using wireless communication systems and formation control strategy.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.196How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junfeng Shuai
AU  - Feng Yu
AU  - Bingbing Yan
AU  - Xiaoming Feng
PY  - 2016/05
DA  - 2016/05
TI  - Formation System of Mobile Robot Based on Vision Location
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 922
EP  - 926
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.196
DO  - 10.2991/wartia-16.2016.196
ID  - Shuai2016/05
ER  -