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Design of Intelligent Winter Bamboo Shoot Picking Robot Based on Servo Control Technology

Published: 24 October 2024 Publication History

Abstract

The servo control system has the advantages of high precision, fast speed, and strong robustness. In the control system of an intelligent winter bamboo shoot harvesting robot, employing servo control as the control scheme can effectively enhance the accuracy and efficiency of harvesting. This paper designs an intelligent harvesting integrated servo control system based on a permanent magnet synchronous motor for the working goal of the intelligent winter bamboo shoot harvesting robot. By utilising winter bamboo shoot images recognized by binocular vision cameras and processed by OpenCV to determine the distance between the robot and the winter bamboo shoot, combined with the improved Astar algorithm, the robot path is accurately planned, and obstacles are automatically avoided during advancement. When approaching the winter bamboo shoot, the robot stops at a suitable position using servo control technology and drives the robotic arm to harvest the bamboo shoot. Firstly, this paper briefly introduces the working principle of binocular vision cameras in distance estimation. Subsequently, it explains the principles of the improved Astar algorithm, the mathematical model of the permanent magnet synchronous motor, and the servo control system. Lastly, it introduces an integrated intelligent harvesting system including IoT technology, and validates the reliability of the intelligent winter bamboo shoot harvesting robot control system through simulation.

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  1. Design of Intelligent Winter Bamboo Shoot Picking Robot Based on Servo Control Technology

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    CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
    June 2024
    1206 pages
    ISBN:9798400710247
    DOI:10.1145/3690407
    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 the author(s) 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].

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    New York, NY, United States

    Publication History

    Published: 24 October 2024

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    Author Tags

    1. Astar
    2. Ground penetrating radar
    3. Integrated intelligent harvesting system
    4. Internet of Things
    5. OpenCV
    6. PMSM
    7. Permanent magnet synchronous motor
    8. Servo control

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