NVIDIA and Taiwan's manufacturing ecosystem, including Delta Electronics, Foxconn, TSMC and Wistron, are demonstrating at COMPUTEX how digital twins accelerate industrial AI development across electronics, semiconductor and robotics manufacturing. The companies utilise Universal Scene Description and NVIDIA Omniverse libraries to develop physically based digital twins that transform factory planning by unlocking operational efficiencies and accelerating autonomous robot development.
Foxconn leads implementation through its Fii Digital Twin platform, developed with OpenUSD, Siemens and Omniverse technologies, to design and simulate robot work cells, assembly lines and entire factory layouts. The platform connects to material control systems using Autodesk Flexsim, NVIDIA cuOpt and NVIDIA Isaac Sim to simulate and optimise flows of materials, equipment, autonomous mobile robots, automated guided vehicles, and human workers.
Foxconn utilises NVIDIA Isaac GR00T N1 model and Isaac GR00T-Mimic blueprint for training industrial manipulator arms and humanoid robots for complex tasks including screw-tightening, pick and place, assembly and cable insertion. The company's digital twin platform conducts thermal simulations 150x faster by connecting to Cadence Reality Digital Twin Platform and integrating NVIDIA PhysicsNeMo frameworks, reducing thermal risks and identifying energy-saving opportunities.
TSMC collaborates with AI-powered digital twins startups to optimise new fab planning and construction, transforming traditional 2D computer-aided designs into interactive 3D layouts including specialised clean rooms. The system uses NVIDIA cuOpt for optimisation and reinforcement learning with NVIDIA Isaac Lab, generating intricate multilevel piping systems in seconds compared to traditional substantial time requirements.
Wistron operates the Wistron Digital Twin platform powered by Autodesk, Cadence and Microsoft software with NVIDIA AI and Omniverse libraries. Robotics developers reduced assembly time by 12 seconds per robotic arm through simulation-first approaches using NVIDIA Isaac Sim integration.
Pegatron's PEGAVERSE and PEGAAi platforms enable factory planning, predictive maintenance, process optimisation and quality control. Visual AI agents developed with NVIDIA AI Blueprint for video search and summarisation have reduced labour costs by 7% and decreased assembly line defect rates by 67%.
Techman Robot advanced intelligent automation at Volkswagen's Transparent Factory using Isaac Sim, reducing robot programming time by 70% and improving productivity by 20%. Solomon's AI vision solution accelerated robotic server inspection processes by up to 8x while reducing errors by 50%.
Digital twin implementations enable comprehensive factory optimisation from design through operations, with manufacturers achieving significant efficiency gains including faster thermal simulations, reduced programming time, and improved defect detection across semiconductor and electronics production facilities.
Taiwan's manufacturing ecosystem adoption of NVIDIA Omniverse positions the island as a global leader in industrial AI transformation while strengthening NVIDIA's presence in trillion-dollar manufacturing industries. The comprehensive deployment across major manufacturers demonstrates scalable digital twin solutions that could influence global manufacturing digitalisation trends and establish new industry standards.