Application development analysis and prospect of express sorting system based on mechanical arm

Research Article
Open access

Application development analysis and prospect of express sorting system based on mechanical arm

Shubo Zhang 1*
  • 1 Pittsburgh Institute, Sichuan University, Chengdu City, Sichuan Province, 610200, China    
  • *corresponding author 2022141520028@stu.scu.edu.cn
Published on 4 February 2024 | https://doi.org/10.54254/2755-2721/34/20230309
ACE Vol.34
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-293-0
ISBN (Online): 978-1-83558-294-7

Abstract

At present, with the improvement of people’s living standards and the rapid development of e-commerce, the volume of express delivery is increasing. The existing manual express sorting method is high-cost and low-efficiency, and an efficient domestic waste sorting method is urgently needed by the society. At present, the field of robotics is developing rapidly, and mechanical arms have various types and functions. Using mechanical arms to replace manual work to complete express sorting tasks has advantages such as high efficiency and labor saving. This paper analyses the application and development of different types of mechanical arms in express sorting system. First, the research status of express sorting and the development of mechanical arm are introduced in detail. Second, based on the structural characteristics, mechanical arms are divided into articulated robot and parallel manipulator. At the same time, the characteristics of the two kinds of mechanical arms and their application in express sorting system are analysed. Finally, by comparing the advantages and limitations of different mechanical arms in express sorting field, the application prospects of different types of mechanical arms in logistics sorting field are discussed.

Keywords:

robot, mechanical arm, express sorting

Zhang,S. (2024). Application development analysis and prospect of express sorting system based on mechanical arm. Applied and Computational Engineering,34,108-113.
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References

[1]. Zhao Tiejun and Wang Ling. Delta robot sorting path optimization based on improved Greedy algorithm Modular. Machine Tools and Automated Processing Technology. 2022 Apr 12(12):58-61.

[2]. Lee HW. The study of mechanical arm and intelligent robot. IEEE Access. 2020 Jun 19;8:119624-34.

[3]. Jain R, Zafar MN, Mohanta JC. Modeling and analysis of articulated robotic arm for material handling applications. InIOP Conference Series: Materials Science and Engineering 2019 Nov 1 (Vol. 691, No. 1, p. 012010). IOP Publishing.

[4]. Zhao JS, Zhou K, Feng ZJ. A theory of degrees of freedom for mechanisms. Mechanism and Machine Theory. 2004 Jun 1;39(6):621-43.

[5]. Fabian J, Monterrey C, Canahuire R. Trajectory tracking control of a 3 DOF delta robot: a PD and LQR comparison. In2016 IEEE XXIII International Congress on Electronics, Electrical Engineering and Computing (INTERCON) 2016 Aug 2 (pp. 1-5). IEEE.

[6]. Pierrot F, Reynaud C, Fournier A. DELTA: a simple and efficient parallel robot. Robotica. 1990 Apr;8(2):105-9.

[7]. Ni H, Liu Y, Zhang C, Wang Y, Xia F, Qiu Z. Sorting system algorithms based on machine vision for Delta robot. Robot. 2016;38(1):49-55.

[8]. Dong Ziyang. Research on kiwifruit picking technology and device based on machine vision and parallel manipulator [D]. Northwest A&F University, 2022.

[9]. Zhu M, Briot S, Chriette A. Sensor-based design of a Delta parallel robot. Mechatronics. 2022 Nov 1;87:102893.

[10]. Merlet JP. Parallel robots. Springer Science & Business Media; 2006 Jul 1.

[11]. Brogårdh T. Present and future robot control development—An industrial perspective. Annual Reviews in Control. 2007 Jan 1;31(1):69-79.

Cite this article

Zhang,S. (2024). Application development analysis and prospect of express sorting system based on mechanical arm. Applied and Computational Engineering,34,108-113.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-293-0(Print) / 978-1-83558-294-7(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.34
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Zhao Tiejun and Wang Ling. Delta robot sorting path optimization based on improved Greedy algorithm Modular. Machine Tools and Automated Processing Technology. 2022 Apr 12(12):58-61.

[2]. Lee HW. The study of mechanical arm and intelligent robot. IEEE Access. 2020 Jun 19;8:119624-34.

[3]. Jain R, Zafar MN, Mohanta JC. Modeling and analysis of articulated robotic arm for material handling applications. InIOP Conference Series: Materials Science and Engineering 2019 Nov 1 (Vol. 691, No. 1, p. 012010). IOP Publishing.

[4]. Zhao JS, Zhou K, Feng ZJ. A theory of degrees of freedom for mechanisms. Mechanism and Machine Theory. 2004 Jun 1;39(6):621-43.

[5]. Fabian J, Monterrey C, Canahuire R. Trajectory tracking control of a 3 DOF delta robot: a PD and LQR comparison. In2016 IEEE XXIII International Congress on Electronics, Electrical Engineering and Computing (INTERCON) 2016 Aug 2 (pp. 1-5). IEEE.

[6]. Pierrot F, Reynaud C, Fournier A. DELTA: a simple and efficient parallel robot. Robotica. 1990 Apr;8(2):105-9.

[7]. Ni H, Liu Y, Zhang C, Wang Y, Xia F, Qiu Z. Sorting system algorithms based on machine vision for Delta robot. Robot. 2016;38(1):49-55.

[8]. Dong Ziyang. Research on kiwifruit picking technology and device based on machine vision and parallel manipulator [D]. Northwest A&F University, 2022.

[9]. Zhu M, Briot S, Chriette A. Sensor-based design of a Delta parallel robot. Mechatronics. 2022 Nov 1;87:102893.

[10]. Merlet JP. Parallel robots. Springer Science & Business Media; 2006 Jul 1.

[11]. Brogårdh T. Present and future robot control development—An industrial perspective. Annual Reviews in Control. 2007 Jan 1;31(1):69-79.

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