IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i3p532-d1077464.html
   My bibliography  Save this article

Greenhouse Tomato Picking Robot Chassis

Author

Listed:
  • Long Su

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Ruijia Liu

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Kenan Liu

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Kai Li

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Li Liu

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Yinggang Shi

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

Abstract

In this paper, a greenhouse tomato picking robot chassis that meets the path cruising and setpoint positioning requirements of robots engaged in greenhouse tomato picking operations in China is designed. Based on the trellis-cultivation growing environment of tomatoes, the basic parameters of the chassis and operating space are analyzed to determine the chassis requirements during picking operations. According to these requirements, a kinematic model of a robot chassis with front-wheel steering and rear-wheel driving is constructed, and the planar positioning principle of the chassis is introduced. SOLIDWORKS is used to simulate and design three-dimensional models of the chassis parts, and the ANSYS WORKBENCH plug-in is used to simulate and analyze the bearing performance of key chassis components. ADAMS is used to simulate and evaluate the motion trajectory of the chassis, and the reasonableness of parameters such as the chassis size, selected materials, and load-bearing performance are verified. Based on the simulation results, a physical system is constructed to experimentally verify the straight-line motion and steering performance of the chassis. The experimental results show that the chassis has good cruising and positioning accuracy and meets the specific requirements of path cruising and setpoint positioning in greenhouse tomato picking operations.

Suggested Citation

  • Long Su & Ruijia Liu & Kenan Liu & Kai Li & Li Liu & Yinggang Shi, 2023. "Greenhouse Tomato Picking Robot Chassis," Agriculture, MDPI, vol. 13(3), pages 1-23, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:532-:d:1077464
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/3/532/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/3/532/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bo Xu & Xiang Cui & Wei Ji & Hao Yuan & Juncheng Wang, 2023. "Apple Grading Method Design and Implementation for Automatic Grader Based on Improved YOLOv5," Agriculture, MDPI, vol. 13(1), pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Changjie Wu & Xiaolong Tang & Xiaoyan Xu, 2023. "System Design, Analysis, and Control of an Intelligent Vehicle for Transportation in Greenhouse," Agriculture, MDPI, vol. 13(5), pages 1-15, May.
    2. Shi, Tao & Zhou, Jianzhao & Ren, Jingzheng & Ayub, Yousaf & Yu, Haoshui & Shen, Weifeng & Li, Qiao & Yang, Ao, 2023. "Co-valorisation of sewage sludge and poultry litter waste for hydrogen production: Gasification process design, sustainability-oriented optimization, and systematic assessment," Energy, Elsevier, vol. 272(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jin Yuan & Wei Ji & Qingchun Feng, 2023. "Robots and Autonomous Machines for Sustainable Agriculture Production," Agriculture, MDPI, vol. 13(7), pages 1-4, July.
    2. Hang Zhou & Jin Gao & Fan Zhang & Junxiong Zhang & Song Wang & Chunlong Zhang & Wei Li, 2023. "Evaluation of Cutting Stability of a Natural-Rubber-Tapping Robot," Agriculture, MDPI, vol. 13(3), pages 1-23, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:532-:d:1077464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.