Research Article | OPEN ACCESS
Multi-mode Intelligent Storage and Retrieval Systems in Automated Warehoue
1Li Zhao, 2Junhai Ma and 3Yinghua Xue
1School of Management Tianjin University, Tianjin, China, Business School of
Shandong Jianzhu University, Jinan, China
2School of Management, Tianjin University, Tianjin, China
3School of Computer Science and Technology, Shandong University
of Finance and Economics, Jinan, China
Research Journal of Applied Sciences, Engineering and Technology 2013 14:3721-3726
Received: July 27, 2012 | Accepted: September 17, 2012 | Published: April 20, 2013
Abstract
In this paper, we study the multi-mode intelligent storage and retrieval systems in automated warehouse. Automated warehouse is the important component of modern Logistics. The storage and retrieval efficiency is an important problem in automated warehouse. Robot technology was used in the design of warehouses aiming to improve the efficiency greatly. The RFID technology is first applied to locate the target roughly and to obtain the attributes of the target. Then the onboard vision is used to recognize and locate the target precisely. Finally, the teaching mode and remote mode are used to assist robot to grasp the target successfully, which can not only reduce the complexity of robot control, but also make full use of the results of image processing. An Intelligent storage and retrieval system in Logistics automated warehouse had been put forward in the paper. A lot of experiments demonstrate the feasibility of the proposed system.
Keywords:
Automated warehouse, computer vision, intelligent storage and retrieval systems, multi-mode, RFID, robot control technology,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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