Multi-AGV scheduling and control based on unity and ROS

Abstract

In modern smart factories, multi-AGV systems improve production efficiency. A three-end collaborative framework integrates planning, execution, and visualization. It ensures planning data is executed accurately. The framework visualizes actual physical routes alongside ideal planned routes. This improves coordination and task management in industrial scenarios. To address these gaps, this study proposes a three-end communication framework. It integrates real-time visualization technology to synchronize virtual environments with real-world scenarios. Unity is used to dynamically visualize path planning results, while ROS controls the movement of TurtleBot3. Path planning is performed using algorithms like GA and PSO, providing support for the collaborative operation of multiple AGVs. The system is designed for small- to medium-scale experimental settings. Experiments show that it can achieve real-time transmission and display of path planning results. Basic synchronization between virtual and real environments is also accomplished.