Paper
1 December 2023 Research on task scheduling and path planning in intelligent warehousing system
Renhui Tian, Linkai Zhu, Zhiming Cai
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129401D (2023) https://doi.org/10.1117/12.3011342
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
Traditional warehouse logistics has faced huge challenges with the development of China’s information technology industry. Intelligent logistics, especially intelligent warehousing, has become a hot research topic worldwide. Amazon Kiva system, a representative of intelligent warehouse handling systems based on multiple mobile robots, has revolutionized the warehousing industry with its “goods-to-man” picking model, which reduces the time and labor costs of finding goods. However, this model still has many limitations, such as low efficiency and scalability, when dealing with large-scale picking tasks. In this paper, we propose a novel intelligent warehouse handling system that overcomes these limitations and improves the system performance. We present the system architecture, design principles, and key algorithms of our system, and evaluate its effectiveness and robustness through simulations and experiments. Specifically, we propose an order task scheduling algorithm based on order adaptation and discrete particle swarm optimization, and a path planning algorithm based on 2D planar graph for the warehouse scenario. We show that our integrated algorithm can improve the system efficiency by solving the two key problems of order scheduling and route planning in the smart storage system.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Renhui Tian, Linkai Zhu, and Zhiming Cai "Research on task scheduling and path planning in intelligent warehousing system", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129401D (1 December 2023); https://doi.org/10.1117/12.3011342
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KEYWORDS
Particles

Intelligence systems

Mobile robots

Particle swarm optimization

Simulations

Industry

Design and modelling

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