Research on automatic guided vehicle scheduling strategies based on artificial intelligent

Chenke Wang

doi:10.1117/12.3010755

1 December 2023 Research on automatic guided vehicle scheduling strategies based on artificial intelligent

Chenke Wang

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 1294004 (2023) https://doi.org/10.1117/12.3010755
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

Automatic guided vehicles have widely utilized in the transportation works and assist to move the objects into certain areas. Therefore, avoiding the conflict of these vehicles and determine the effective scheduling strategies are an essential component to improve the effectiveness and guarantee the safe of these vehicles. Existing scheduling strategies are concentrated to utilize the mathematical models or train a machine learning algorithm to dispose the scheduling for each vehicles. In this work, we utilize the artificial neural network to solve the scheduling issue and achieve the high effectiveness of moving vehicles. Initially, we order the vehicles with the principle of priority and get the minimum Euclid distance for these vehicles. Subsequently, an artificial neural network is trained to obtain the scheduling routes for each vehicles. From our extensive simulation results and comparison analysis, we can conclude our proposed model can effectively achieve the scheduling routes for each vehicles and avoid the conflict or congestion among guided vehicles with reasonable computation and response time.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenke Wang "Research on automatic guided vehicle scheduling strategies based on artificial intelligent", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 1294004 (1 December 2023); https://doi.org/10.1117/12.3010755

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KEYWORDS

Artificial neural networks

Data modeling

Machine learning

Artificial intelligence

Matrices

Strategic intelligence

Roads

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