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K3I. Co., Ltd. to Unveil Physical AI Manufacturing Platform Integrated with NVIDIA Omniverse

Participation in Next Month’s “2026 RoboWorld”

Kwon Oh Seok
2026-10-26 09:38:58
[Edaily Reporter Kwon Oh Seok ] Digital twin specialist #K3I. Co., Ltd. announced on the 26th that it will participate in “Roboworld 2026,” taking place November 4–7 at KINTEX in Goyang, to unveil its physical AI manufacturing technology based on “NeuroTwinX,” the company’s proprietary platform integrated with NVIDIA Omniverse.
(Photo courtesy of K3I. Co., Ltd.)

Through this exhibition, K3I. Co., Ltd. plans to showcase highly advanced digital twin-based manufacturing equipment simulation, robot control, and worker safety management solutions. In line with the recent trend of the full-scale introduction of various robots—including humanoids—into manufacturing sites, the company aims to accelerate the adoption of its proprietary technology in industrial settings both domestically and internationally.
The “Neuro Twin X” platform is a physical AI digital twin technology that precisely replicates real manufacturing environments in a virtual space, enabling the pre-verification of robot and manufacturing equipment operations during new facility construction or process transitions. Equipped with virtual factory authoring tools and physics-based simulation, it is designed to preemptively diagnose risks such as collisions between equipment, process bottlenecks, and operational efficiency.
K3I. Co., Ltd. will demonstrate a smart manufacturing environment on-site by integrating actual collaborative robots, conveyor belts, and industrial cameras into a virtual factory based on NVIDIA’s “Isaac Sim.” The company plans to showcase not only the use of AI technology to recognize and sort parts and precisely control robots but also a safety system that reduces the speed of robots and conveyors or stops them entirely when workers come within a certain proximity.
K3I. Co., Ltd. stated, “We have taken a step beyond the stages of conventional robot simulation and physical AI training data acquisition by advancing our technology to enable integrated control of physical manufacturing equipment and virtual factories, as well as real-time verification of worker safety,” adding “We will showcase the physical AI capabilities we have acquired through international joint research and actively pursue proof-of-concept (PoC) projects for digital twin construction, process simulation, and robot integration in actual manufacturing sites,” the representative added.

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