A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training*

This paper presents a novel approach for generating high-quality datasets tailored to machine learning and bench-marking ( e.g. mobile robot localization, people detection) in factory automation. This is achieved by developing a fully dynamic and realistic industrial car factory simulation. The simulation, built in Unity, incorporates intricate animations and dynamics, enabling the generation of diverse, labeled datasets. Robots and sensor modules, including virtual LIDAR, are integrated to demonstrate different use cases of the simulation. This project aims to provide a valuable resource for the machine learning community, researchers, and educators, ultimately to foster advancements in the field. Link: https://tx.ag/CarFactory