Cyngn Integrates Autonomous Forklift Models into NVIDIA Isaac Sim to Accelerate Industrial Robotics Deployment

17 March 2026 | News

Integration of high-fidelity vehicle dynamics models into NVIDIA’s simulation platform enables faster testing, reduced risk, and improved validation of Cyngn’s autonomous forklifts.
Image Courtesy: Public Domain

Image Courtesy: Public Domain

Cyngn (NASDAQ: CYN) announced it is integrating its high-fidelity forklift vehicle models into NVIDIA Isaac Sim, an open simulation framework for developing autonomous systems.

This milestone strengthens Cyngn's autonomous forklift program, including its work with Arauco, which previously pre-ordered 100 autonomous forklifts.

Over the past year, Cyngn and NVIDIA engineering teams worked together to enable Cyngn's detailed forklift models — built using advanced engineering tools and exported as Functional Mock-up Units (FMUs), an industry standard format — to run inside Isaac Sim. The teams established two-way communication between Cyngn's tire and vehicle dynamics models and Isaac Sim's virtual surfaces, ensuring that forklift behavior in simulation closely reflects real-world performance.

By bringing its validated vehicle dynamics models into a realistic digital factory environment in Isaac Sim, Cyngn can test how its forklifts move, turn, and respond to different surfaces before they operate in customer facilities. This allows the company to identify issues earlier, reduce risk, and accelerate deployment timelines.

"Combining NVIDIA Isaac Sim's large-scale, GPU-accelerated simulation environment with our high-fidelity forklift models allows us to develop and validate autonomy more efficiently," said Lior Tal, CEO of Cyngn. "By strengthening the connection between simulation and real-world deployment, we can move faster, reduce risk, and bring autonomous industrial vehicles to customers with greater confidence."

Cyngn's integration of Isaac Sim reflects its alignment with NVIDIA's clear long-term vision for simulation as fundamental to the development of  physical autonomy across industries — from robotics and logistics to autonomous vehicles.

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