GTC Digital Twin

GTC Digital Twin Watch Video

Role: Lead Developer & Designer
Tech Stack: Unreal Engine, NVIDIA Omniverse, USD, 3ds Max, Industrial Robotics Simulation
Type: Real-Time Digital Twin / Simulation Environment

Overview

This project was a fully virtualized digital twin system designed to automate the inspection and routing of incoming automotive oil filters using industrial computed tomography (CT). As the main developer and designer, I created an immersive, real-time simulation in Unreal Engine, integrating real-world workflows, robotics, and physics to replicate a complete production line—from incoming shipments to quality control and manufacturing delivery.

The entire system was built, optimized, and tested virtually using USD-based assets, Omniverse collaboration tools, and custom logic for robotic behavior and CT scanning sequences.


Key Contributions

  • Environment Design & Asset Creation:
    Built a detailed 3D simulation of the inspection process using 3ds Max and Unreal Engine, including all conveyors, robots, scanners, and logistics elements.

  • Real-Time Simulation Development:
    Programmed system logic and state machines to simulate robot behavior, filter scanning, sorting, and material flow with high visual and functional fidelity.

  • Omniverse & USD Integration:
    Leveraged USD to enable collaborative asset interchange and live updates between design tools and the Unreal environment.

  • Robot Behavior Prototyping:
    Created digital logic that mirrors real-world robot motion, pick-and-place operations, and error handling—enabling side-by-side validation with the physical robot.

  • Full Virtual Testing & Optimization:
    All system development, testing, and iteration was performed in the digital twin before deploying to the real-world manufacturing setup—reducing downtime and risk.


Outcome

The digital twin environment enabled real-time testing of automated inspection workflows without any physical prototypes. It served as a critical step for qualifying robotic processes, optimizing CT scan timing, and validating end-to-end product handling before implementation on the factory floor.