skip to main content
10.1145/3480571.3480614acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiciipConference Proceedingsconference-collections
research-article

Design and Implementation of Intelligent Material Handling Robot Based on STM32

Published:29 October 2021Publication History

ABSTRACT

In order to improve the efficiency of logistics handling and save labor costs, this project designs an intelligent material handling robot based on STM32.There are two working modes of intelligent material handling robot. In the automatic mode, task information can be obtained by scanning the QR code, walking and avoiding obstacles in the designated industrial scene, grabbing materials according to different color sequence, and carrying them to the designated position. In the remote-control mode, the remote-control device with matching design can control the movement and grab of the intelligent material handling robot remotely and wirelessly. The intelligent material handling robot also has the functions of uphill and downhill path planning. The experimental results show that the design can realize the functions of autonomous tracking positioning, autonomous handling, visual recognition, remote control and so on. It meets the basic requirements of the design and has a certain reference value in practical application.

References

  1. Xu Fang. Current Situation and Development of Industrial Robot Industry [J]. Robot Technology and Application, 2007, (5): 2-4.Google ScholarGoogle Scholar
  2. Tian Xin. Improvement Design of Transplanting and Palletizing Robot Control System [D]. Ningxia: Ningxia University, 2016.Google ScholarGoogle Scholar
  3. Liu Chunping, Zhang Zhong. Robot Handling, Positioning, Assembly and Composite Processing Technology of Thin Sheet Materials and Formed Parts [J]. Tianjin Science and Technology, 2008, (3): 85-88.Google ScholarGoogle Scholar
  4. LI Yu. Research on Path Planning and Control of Autonomous Navigation Vehicle [D]. Shaanxi: Xi 'an University of Science and Technology, 2008.Google ScholarGoogle Scholar
  5. Zhang Hongxia.Research on Development Status and Trend of Industrial Robot at Home and Awide [J]. Electronic World, 2013, (12): 5-7.Google ScholarGoogle Scholar
  6. Sun Ting, Li Chenggang, Wu Hongtao.Design of Universal Open Six-axis Industrial Robot Motion Control Card [J]. Machinery & Electronics, 2012, (5): 69-71.Google ScholarGoogle Scholar
  7. Rubio F, Valero F, Llopis-Albert C. A review of mobile robots: Concepts, methods, theoretical framework, and applications[J]. International Journal of Advanced Robot Syst, 2019, 16: 1–22.Google ScholarGoogle ScholarCross RefCross Ref
  8. Holmberg R, Khatib O. Development and control of a holonomic mobile robot formobile manipulation tasks[J]. International Journal of Robotics Research, 2000, 19(11): 1066-1074.Google ScholarGoogle ScholarCross RefCross Ref
  9. Xu Feng. Structure Design and Navigation Control Research of Mecanum Wheel Mobile Robot [D].Xi 'an: Xi 'an University of Technology, 2017.Google ScholarGoogle Scholar
  10. Qi Yu, Fu Weibo.Research Status and Development Trend of Automatic Guided Vehicle [J]. Shandong Industrial Technology, 2017, (6): 292.Google ScholarGoogle Scholar
  11. Jin Xin. Development Status and Application Trend of AGV Vehicle [J]. Technology Research and Application, 2021, 20(1): 10-13.Google ScholarGoogle Scholar
  12. Peng Tianrang. Design and Research of Mechanical and Control System of Mobile Robot for Material Handling [D].Hefei: Hefei University of Technology, 2016.Google ScholarGoogle Scholar
  13. Qian Ping. Research on Multi-path Optimization Method of Industrial Handling Robot Based on QR Code Navigation [D].Wuhan: Wuhan Institute of Technology, 2018.Google ScholarGoogle Scholar
  14. Wang Zhiqin, Zuo Haojia.Design of Handling Robot Based on Single Chip Microcomputer. Journal of Tangshan University, 2020, 33(6): 6-9.Google ScholarGoogle Scholar
  15. Fu Zhongyun, Zhu Haixia, Sun Jin qiu, Research on filtering algorithm based on inertial sensor MPU6050 [J]. Piezoelectrics & Acoustooptics, 2015, (5): 821-825.Google ScholarGoogle Scholar
  16. Shi Minhu, Li Yunpeng, Zhuang Shudong, Design of Intelligent Handling Robot Based on OpenMV [J]. Mechanical Engineer, 2020, (2): 20-22+25.ISBN:978-1-4503-0000-0/18/06Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICIIP '21: Proceedings of the 6th International Conference on Intelligent Information Processing
    July 2021
    347 pages
    ISBN:9781450390637
    DOI:10.1145/3480571

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 29 October 2021

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate87of367submissions,24%
  • Article Metrics

    • Downloads (Last 12 months)47
    • Downloads (Last 6 weeks)10

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format