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Introduction
Taiwan is rapidly becoming a global epicenter for the integration of artificial intelligence (AI) in manufacturing—powered by digital twins, simulation, and robotics. At COMPUTEX 2025 in Taipei, NVIDIA joined forces with major Taiwanese companies like Foxconn, TSMC, Wistron, Delta Electronics, and others to showcase how the convergence of AI and digital twin technology is reshaping industrial operations. These tech giants are not just enhancing efficiency—they’re redefining factory planning, robotic automation, and defect detection, creating a roadmap for Industry 5.0.
the Original
NVIDIA and Taiwan’s leading manufacturers are demonstrating the critical role of digital twins in accelerating industrial AI at COMPUTEX. Companies like Foxconn, TSMC, Wistron, and Delta Electronics are leveraging OpenUSD and NVIDIA Omniverse technologies to build physically accurate digital twins of their factories. These twins simulate and optimize every layer of factory operations, from assembly lines to autonomous robots.
Foxconn is using its Fii Digital Twin platform to design and simulate entire factory layouts, integrating NVIDIA Isaac Sim and cuOpt to optimize robotic movement and resource flow. They’re also training humanoid robots and manipulators using NVIDIA GR00T models and Omniverse blueprints, cutting down time and costs while enhancing performance.
TSMC is using AI-powered digital twins for fab construction planning, rapidly transforming traditional 2D layouts into immersive 3D models. The process improves design accuracy, thermal simulations, and defect classification using NVIDIA software stacks like cuLitho and Isaac Lab.
Wistron, Wiwynn, and Pegatron are using their own platforms to optimize plant layouts, train workers, automate inspections, and deploy AI video agents that improve operational monitoring. These platforms also help in creating training modules and refining SOPs through video analysis and real-time simulation.
Kenmec, MetAI, and GIGABYTE are building fully virtualized logistics centers and smart production systems, while Quanta and Foxlink are focused on collaboration and smarter robot design. Techman, Solomon, MSI, and Kudan are pushing automation in logistics and automotive industries using digital simulations and intelligent cobots.
In healthcare, companies like Adata and Advantech are deploying AMRs for hospital disinfection using Isaac Sim and Jetson Orin, significantly reducing operational times. Overall, these technologies aim to boost productivity, reduce errors, and enhance real-time adaptability across sectors.
What Undercode Say: The Industrial AI Revolution Is Already Here
NVIDIA and Taiwan’s digital twin ecosystem offer a clear window into the future of smart manufacturing. This isn’t just about replacing manual labor with robots—it’s about creating an interconnected, self-optimizing environment that learns and evolves.
🔹 Industrial Digital Twins Go Beyond Simulation
The use of platforms like Isaac Sim, cuOpt, and Omniverse isn’t just about visualizing a factory in 3D—it’s about modeling thermal conditions, robotic motion planning, and AI decision-making in real-time. When Foxconn uses GR00T-Mimic to train humanoid arms or TSMC optimizes pipe routing in seconds, it shows the scale of transformation digital twins are enabling.
🔹 AI Agents Drive Smart Operations
AI is not confined to robotic automation—it’s being deployed as intelligent agents for video search, defect analysis, and even worker training. Companies like Pegatron are using NVIDIA’s VSS blueprint to reduce assembly errors by 67%. Meanwhile, Wistron enhances SOPs through Cosmos Tokenizer, offering a granular analysis of worker behavior.
🔹 The Real-World Impact Is Tangible
From 12-second efficiency gains on robot arms at Wistron to 70% faster hospital robot deployment by Adata and Advantech, the ROI of digital twins is becoming measurable. These gains compound over time, translating into millions in savings and operational resilience during market or supply chain fluctuations.
🔹 Cross-Industry Collaboration Is Fueling Growth
Many of these platforms are modular and built for collaboration. Quanta’s digital twin strategy involves external partners for design reviews, while Delta’s DIATwin classroom offers training-as-a-service. This democratization of advanced tools shows how digital manufacturing is scaling fast.
🔹 Sustainability Is an Unspoken Advantage
Thermal assessments by Foxconn and energy optimization through Cadence Reality and PhysicsNeMo platforms highlight another benefit: reduced energy use. These sustainable workflows not only improve performance but also reduce carbon footprints—a key factor for long-term competitiveness.
In short, the fusion of simulation, AI, and robotics isn’t theoretical—it’s operational. Taiwan, with NVIDIA’s support, is not just leading; it’s setting the standard.
✅ Fact Checker Results
🔍 Confirmed: Foxconn, TSMC, and other Taiwanese firms are actively deploying Omniverse-based digital twins.
🤖 Verified: Isaac Sim and NVIDIA GR00T models are being used in real-world robotics training and deployment.
📈 Proven: Use of AI agents for video analytics and SOP improvement has measurable results in defect reduction and worker efficiency.
📊 Prediction: What’s Coming Next
By 2026, expect Taiwan’s factory digital twin infrastructure to be fully autonomous in key areas such as production planning, predictive maintenance, and defect correction. As more companies adopt VSS-based AI agents and real-time IoT integration, downtime will decrease dramatically. Combined with humanoid robot fleets powered by GR00T, factory-as-a-service models will likely emerge—allowing startups and SMBs to rent high-performance factory modules with minimal setup.
Taiwan’s manufacturing revolution, enabled by NVIDIA, is not just about innovation—it’s about accessibility, speed, and global scalability.
References:
Reported By: blogs.nvidia.com
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