Paper
1 December 2023 AGV magnetic navigation unmanned vehicle handling wood automation
Xinwei Bi, Qiwen He, Yonheng Li, Guangyan Liu, Xiangshan Li
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129400A (2023) https://doi.org/10.1117/12.3011037
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
To improve the efficiency and safety of wood handling, an AGV magnetically guided handling unmanned vehicle is designed. The AGV magnetic navigation unmanned vehicle uses the STM32 as the control system, acquisition of magnetic signals using the MGS-16FP magnetic navigation sensor, HC-SR04 ultrasonic distance measurement module collects distance information, MFRC522 module reads and writes line information, LCD shows unmanned vehicle status. The ESP8266 module transmits data via the MQTT protocol for path planning and real-time monitoring. The AGV magnetic navigation unmanned vehicle designed in this paper has high efficiency and stability and can work stably indoors to automate wood handling, which greatly improves the efficiency and safety of wood handling.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinwei Bi, Qiwen He, Yonheng Li, Guangyan Liu, and Xiangshan Li "AGV magnetic navigation unmanned vehicle handling wood automation", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129400A (1 December 2023); https://doi.org/10.1117/12.3011037
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KEYWORDS
Magnetism

Unmanned vehicles

Magnetic sensors

Control systems

Design and modelling

Navigation systems

LCDs

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