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The aim is to optimize task scheduling and path planning for multi-AGV systems in warehouses.

July 26, 2026PLoS ONEOpen Access

Multi-AGV task scheduling and dynamic map path planning based on task pre-allocation

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The aim is to optimize task scheduling and path planning for multi-AGV systems in warehouses.
Introduced a task segmentation strategy to divide tasks into long-distance transport and in-racking sub-tasks.
Developed a task pre-allocation algorithm to allow AGVs to engage in upcoming tasks before finishing current ones.
Implemented a dynamic map path planning mechanism with a traffic control module and localized Floyd update algorithm.
Reduced system no-load rate significantly.
Mitigated path congestion effectively.
Enhanced overall operational performance in the warehouse simulation.

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Randomized trial optimizes task scheduling and path planning in multi-AGV systems, indicating improved efficiency.

Gao et al. (2026) studied this question.

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