KION, NavVis, and NVIDIA Collaborate on Industrial Digital Twins and Robotics Simulation

KION, NavVis, and NVIDIA announced a collaborative workflow designed to integrate physical warehouse environments with simulation and AI training. Operating in dynamic industrial facilities where physical layouts frequently change, the workflow captures current conditions, creates digital twins, tests operations in simulation, and applies operational insights back to the facility. NavVis captures spatial geometry using its VLX 3 mobile mapping system to produce millimeter-accurate point clouds and imagery, managed in NavVis IVION. Through the NavVis IVION Point Streaming API, point cloud data streams directly into third-party software, including applications developed on OpenUSD and NVIDIA Omniverse libraries. NVIDIA contributes open libraries, Isaac Sim, and accelerated AI infrastructure to establish virtual environments. KION utilizes this infrastructure across three primary applications: facility planning without operational disruption, simulation and validation of automation logic and fleet management, and synthetic sensor data generation (LiDAR, RGB, depth, and segmentation) to train AI models for its autonomous forklifts and autonomous mobile robots (AMRs).

Key takeaways

• NavVis supplies millimeter-accurate spatial point clouds and imagery via its VLX 3 scanner and IVION platform, supporting API-based point cloud streaming into OpenUSD and NVIDIA Omniverse applications.
• NVIDIA provides accelerated simulation libraries, Isaac Sim, and physical AI blueprints to convert spatial capture data into dynamic virtual warehouse models.
• KION integrates the pipeline to plan layouts, validate mixed fleet logic, and generate synthetic sensor data for autonomous mobile robot and forklift AI training.