Smart Logistics System

The logistics center realizes the reconciliation of the system and the environment, and cooperates with the logistics center of various types of business. It can respond strongly to any changes in the market, so that customers can successfully complete the distribution and delivery period.

Third Party Logistics System

Master the world’s most advanced stacker crane design and manufacturing technology, combined with years of accumulated practical experience and insight into customer needs, provide customers with various types of automated warehousing solutions.

Smart Automation System

Provide software and hardware planning and design of various systems such as whole plant automated production line, finished product packaging and handling, stacking, etc., to provide customers with the most rational, cost-effective and efficient professional planning.

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Kenmec Pioneer Robotic and Automation Simulations with NVIDIA Omniverse “Mega” Blueprint to Optimize AI-Powered Smart Warehouses

Taipei, Taiwan — May 19th, 2025
MetAI, an NVIDIA-backed innovator in AI-powered simulation infrastructure, has partnered with Taiwanese industrial automation leader Kenmec to become one of the earliest adopters of NVIDIA Omniverse “Mega” Blueprint within a real-world industrial environment. The collaboration showcases how simulation, AI, and robotics can converge to unlock a new generation of smart warehouse and intelligent manufacturing operations.

At the heart of this collaboration is the seamless integration of  NVIDIA Omniverse libraries™,, MetAI’s digital twin generation platform MetGen, its Controller Simulator for real-time logic testing, and Kenmec’s deep domain expertise in warehouse logistics and automation. Together, the teams virtualized the entire Chief Smart Logistics Center, creating a full-fidelity simulation environment that brings together physical dynamics, real-time controller logic, AI-driven testing and optimization—all within a simulated environment.

“We’ve always believed that simulation should be the starting point—not the end—of industrial innovation,” said Daniel Yu, Co-founder and CEO of MetAI. “With NVIDIA’s platforms and blueprints, we’re now able to connect digital twins with multiple robotic brains, manage full fleets virtually, and enable Real-to-Sim and Sim-to-Real workflows—empowering AI agents to learn best practices before entering the real world.”

The collaboration delivers:

NVIDIA Omniverse “Mega” Blueprint: Enabling large-scale simulation of diverse industrial AI and robot models through software-defined testing and optimization to factories and warehouses

MetGen-powered SimReady digital twin generation: Instantly transforms 2D blueprints and production data into simulation-ready OpenUSD environments

MetAI’s Controller Simulator Integration: Connects and tests real PLC controller logic inside OpenUSD-based digital twins before deployment

Robot fleet simulation: Includes Kenmec’s conveyor systems, AMRs, smart cameras and more

AI agent optimization: Enhances control logic, improves layouts, reduces failure scenarios like tailgating, and streamlines automation workflows

By combining real-world logic with MetAI’s generated simulation technology, this version of a  “world simulator” provides a safe, scalable environment for validating entire robotic ecosystems—accelerating development while reducing cost and risk.

“With NVIDIA Omniverse and MetAI’s technologies, we’re able to simulate and optimize our logistics systems virtually like never before,” said Jonas Ko, President of Kenmec Mechanical Engineering. “This gives us the confidence to design smarter, AI-powered systems and deploy them faster—backed by real testing, not assumptions.”


🔭 Looking Ahead: Scaling Physical AI Across Verticals

Building on this success,  Kenmec and MetAI plan to expand the implementation of this simulation-first approach into broader robotics and Physical AI use cases, including:

AMHS (Automated Material Handling Systems) for advanced semiconductor manufacturing

AMR fleets for smart warehouses and production lines

AI-driven optimization of production workflows and facility layouts

These future deployments will continue to validate the “Mega” Blueprint as a foundational architecture for real-time, simulation-powered robotics across the industrial landscape.


This collaboration supports NVIDIA’s broader vision to enable simulation-native automation through the NVIDIA Omniverse “Mega” Blueprint. As early adopters and active collaborators, MetAI and Kenmec are helping define how Real-to-Sim and Sim-to-Real pipelines will drive the next wave of robotics and Physical AI—from warehouse operations to advanced manufacturing.

Watch the full MetAI & Kenmec’s use case video here: Youtube Link
Live demo available at Innovex NVIDIA Inception Pavilion, Computex & GTC Taipei