Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)

Key Technologies of Warehousing Robot for Intelligent logistics

Authors
Yongzuo Wu, Dongyuan Ge
Corresponding Author
Yongzuo Wu
Available Online April 2019.
DOI
10.2991/ismss-19.2019.16How to use a DOI?
Keywords
Intelligent Logistics; Warehousing Robot; Machine Learning; End to End
Abstract

Fully automatic warehousing system is one of the basic trend of future intelligent logistics development. Intelligent warehousing robot is an important carrier connecting data, information and warehouse. By machine vision, machine learning and related photoelectric technology intelligent warehousing robot complete cargo handling, sorting, distribution, storage, inventory, and improve the efficiency of goods out of warehouse. Relying on the big data of logistics industry, integrating the advance technology of artificial intelligence, so as to improve the efficiency of end-to-end supply chain and achieve intelligent logistics.

Copyright
© 2019, 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 First International Symposium on Management and Social Sciences (ISMSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2019
ISBN
10.2991/ismss-19.2019.16
ISSN
2352-5398
DOI
10.2991/ismss-19.2019.16How to use a DOI?
Copyright
© 2019, 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  - Yongzuo Wu
AU  - Dongyuan Ge
PY  - 2019/04
DA  - 2019/04
TI  - Key Technologies of Warehousing Robot for Intelligent logistics
BT  - Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)
PB  - Atlantis Press
SP  - 79
EP  - 82
SN  - 2352-5398
UR  - https://doi.org/10.2991/ismss-19.2019.16
DO  - 10.2991/ismss-19.2019.16
ID  - Wu2019/04
ER  -