The Value and Path of the Application of Artificial Intelligence Technology in Automatic Guided Vehicles from the Perspective of Commercialization

  • Han K
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Abstract

Intelligence is an important direction for the transformation and development of modern logistics systems. Automatic guided vehicles are the key equipment for the intelligent operation of modern logistics systems. In order to improve the commercialization capability of automatic guided vehicles, the functions of automatic guided vehicles must be continuously improved, so that automatic guided vehicles can adapt to more complex road environments and be applied to more application scenarios, so as to make the commercialization process of automatic guided vehicles more smoothly. Based on the perspective of the commercial operation of automatic guided vehicles, this paper uses the relevant theories of management science and computer technology to discuss the value and path of applying artificial intelligence technology to automatic guided vehicles from the perspective of commercialization. The conclusion is that artificial intelligence technology can enrich the function of the automatic guided vehicle, the optimization of the mechanical design of the automatic guided vehicle, and the improvement of the performance of the automatic guided vehicle, thereby expanding the application scenarios of the automatic guided vehicle, reducing the manufacturing cost of the automatic guided vehicle, and reducing the maintenance cost of the automatic guided vehicle. The path of applying artificial intelligence technology to automatic guided vehicles mainly includes the optimization of six fields including motion module, communication module, anti-collision module, power supply module, vehicle-mounted module, and AGVS monitoring and dispatching management system.

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APA

Han, K. (2022). The Value and Path of the Application of Artificial Intelligence Technology in Automatic Guided Vehicles from the Perspective of Commercialization. Open Journal of Social Sciences, 10(07), 461–469. https://doi.org/10.4236/jss.2022.107035

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