Multi-AGV path planning for yarn cone delivery in twisting workshop

Abstract

Automation is increasingly utilized in the textile sector, notably the twisting workshop's yarn bobbin distribution. Our research introduces a dynamic multi-automated guided vehicle (AGV) path planning system to enhance the yarn bobbin distribution. A stationary robot palletizes bobbins at the transfer center, while omnidirectional AGVs distribute them based on straight-twisting machine needs. An improved GWO algorithm is at the system's heart, planning paths by considering AGVs' real-time positions, task priorities, layout, and statuses, with real-time adjustments for environmental shifts and AGV conflict minimization. Simulations confirm the system's efficacy in reducing AGV conflicts, boosting efficiency, and cutting task times, outperforming traditional Grey Wolf Optimization (GWO) algorithms. This efficient AGV path planning system offers new perspectives for industrial automation in distribution.