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MANIPULATION

Design of Autonomous Logistics Transportation Robot System with Fork-Type Lifter

Jae-Hoon Cho, Yong‐Tae Kim

Year
2017
Citations
20
Access
Open access

Abstract

In this paper, we propose an automated guided vehicle (AGV)-based logistics transportation robot with a fork-type manipulator that are efficient in delivering various and small goods on the shelf. The proposed robot system can be divided into a main server part, a drive control part, and a fork lifter motion control part. The main server part includes the path and task planning algorithm, a communication system for exchanging information, and a database. The drive control part performs navigation control and position recognition through the camera. The fork lifter motion control part contains a control algorithm for transporting the product and basket on the shelf. To evaluate the performance of the proposed transportation robot system, the driving test was performed and a fork lifter working experiment was carried out. The experimental results show that the performance of the proposed robot system is satisfactory and can be applied to the transportation tasks in the distribution centers.

Keywords

Fork (system call)RobotComputer scienceMobile robotMotion planningTask (project management)SimulationPosition (finance)Control (management)Motion control

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