Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

Research on a New Large Mowing Robot and Path Planning Based on GPS-RTK

Authors
Jiehua Zhou, Jiqiang Zhou, Xiaoyong Zhang, Bin Kong
Corresponding Author
Jiehua Zhou
Available Online February 2018.
DOI
10.2991/ifeesm-17.2018.291How to use a DOI?
Keywords
mowing robot, GPS-RTK, path planning
Abstract

A new mowing robot suitable for large-scale lawn is proposed in the paper. The mowing robot mainly consists of mobile platform, GPS navigation system, control system, power system and remote monitoring system. First of all, the paper introduces the functions of each subsystem from the point of view of system design. Secondly, GPS is used as navigation tool, and GPS-RTK technology is used to realize precise positioning of mowing robot. The tasks of working area build and path planning of robot are completed by GPS information, and taking an airport lawn as the experimental object, the task of working area division was completed.

Copyright
© 2018, 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 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-453-8
ISSN
2352-5401
DOI
10.2991/ifeesm-17.2018.291How to use a DOI?
Copyright
© 2018, 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  - Jiehua Zhou
AU  - Jiqiang Zhou
AU  - Xiaoyong Zhang
AU  - Bin Kong
PY  - 2018/02
DA  - 2018/02
TI  - Research on a New Large Mowing Robot and Path Planning Based on GPS-RTK
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 1604
EP  - 1610
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.291
DO  - 10.2991/ifeesm-17.2018.291
ID  - Zhou2018/02
ER  -