Japanese robotics giants join forces with NVIDIA Cosmos: Physical AI becomes the new engine for industrial upgrading

From "Manufacturing Powerhouse" to "Intelligent Industry": Japan’s Physical AI Strategy Emerges

In July 2026, NVIDIA announced in Tokyo, Japan, that leaders in Japan’s Physical AI field are accelerating the deployment of intelligent machines in manufacturing, mobility, infrastructure, and robotics based on the NVIDIA Cosmos, Isaac, Metropolis, and Jetson platforms. This is not a simple technical collaboration but a key step for Japan’s manufacturing industry to reshape its competitiveness in the AI era.

Japan has deep expertise in robotics, automotive, precision engineering, and industrial automation. According to data from the International Federation of Robotics (IFR), Japan is one of the world’s largest manufacturers and users of industrial robots. However, as AI permeates the physical world, traditional automation faces challenges of upgrading. NVIDIA founder and CEO Jensen Huang stated at the launch event: “The next frontier of AI is the physical world, which presents a once-in-a-lifetime opportunity for Japan.”

Japan’s Industrial Giants Jointly Join the Cosmos Coalition

One core of this announcement is the expanded Japanese chapter of the NVIDIA Cosmos Coalition. More than ten top Japanese companies and organizations, including AIRoA (Japan Robot Association), FANUC, Fujitsu, Hitachi, Kawasaki Heavy Industries, Kubota, NEC, SoftBank Corp., Sony Group, and Yaskawa Electric, have expressed interest in joining the coalition to jointly build open, cutting-edge Physical AI models.

These companies are global leaders in their respective fields: FANUC and Yaskawa hold significant market shares in industrial robotics; Kawasaki Heavy Industries has extensive operations in heavy industry, shipbuilding, and aerospace; Kubota is a leader in agricultural machinery; and Sony and NEC are representatives of electronics and communication technology. Their collective participation signifies that Japan is shifting from individual corporate innovation to ecosystem collaboration, lowering the barrier to AI development through open platforms.

Cosmos 3 Edge: A Catalyst for Edge AI

NVIDIA also released Cosmos 3 Edge, a 4-billion-parameter world model designed for edge devices. It enables real-time visual reasoning and robotic motion prediction on the NVIDIA Jetson platform (including the newly released T2000 and T3000 modules). For Japanese manufacturing sites, low-latency, localized AI reasoning is crucial—factory environments often require millisecond-level responses and cannot rely entirely on cloud connectivity.

Fujitsu is leading the effort, in collaboration with FANUC, Yaskawa, and Kawasaki Heavy Industries, to explore building a collaborative control platform based on the NVIDIA Physical AI stack.Fujitsu is leading the effort, collaborating with FANUC, Yaskawa, and Kawasaki Heavy Industries to explore the construction of a collaborative control platform based on the NVIDIA Physical AI stack. This platform will integrate the Cosmos world foundation model, Isaac robot development platform, Omniverse NuRec library, and Newton physics engine, covering AI model development, digital twins, robot learning, simulation-to-real workflows, and pre-deployment validation. If successful, this platform will become the core infrastructure for Japan’s smart manufacturing.

From Factory to Farm: Application Scenarios of Physical AI

Japanese companies are exploring the practical applications of Physical AI across multiple dimensions:

• Industrial automation: Mujin uses Cosmos to develop autonomous robot systems based on MujinOS; TRON K.K. builds manufacturing data workflows for assembly, picking, inspection, and material handling.
• Smart agriculture: Kubota explores autonomous farming and intelligent agriculture based on Cosmos.
• Service and healthcare: Enactic fine-tunes the NVIDIA Isaac GR00T model for semi-humanoid robots in elderly care; GROOVE X develops the companion robot LOVOT based on Jetson.
• Retail automation: Telexistence applies Isaac and explores Cosmos for retail automation.
• Smart buildings: Hitachi uses Metropolis to optimize smart building operations; OMRON applies it to automated inspection; Shimizu Corporation uses it for construction safety.

SoftBank Corp. is developing a Physical AI development platform based on Cosmos, Omniverse, and Isaac Sim, and is leveraging NVIDIA AI Aerial to drive the AI-RAN initiative, aiming to provide intelligent connectivity for billions of Physical AI devices.

Synergy Between Japan’s Semiconductor and AI Strategies

Notably, NVIDIA’s cooperation with Japanese companies is not limited to software. NVIDIA’s Jetson platform uses its own GPU architecture, while Japan is vigorously revitalizing its semiconductor manufacturing industry. TSMC’s factory in Kumamoto and the Japanese government’s Rapidus project (targeting mass production of 2nm chips by 2027) provide a local supply chain possibility for the high-performance edge computing chips required by Physical AI. Japanese companies like Sony also have synergy potential with NVIDIA in the image sensor field.

Challenges and ProspectsDespite the promising prospects, the large-scale implementation of Physical AI in Japan still faces challenges. First, the progress of digital transformation (DX) in Japan's manufacturing sector is uneven, with numerous small and medium-sized enterprises still relying on traditional equipment. Second, the shortage of AI talent is a global issue, and Japan is no exception. Moreover, the safety and reliability of Physical AI systems are critical in industrial environments, requiring rigorous testing and certification processes.

However, on the positive side, the Japanese government has designated AI and robotics as national strategic priorities and provides support through policies such as the "AI Strategy 2025." Open collaboration among enterprises (e.g., the Cosmos Coalition) is expected to accelerate the diffusion of technology standards and best practices.

Jensen Huang's assertion may be accurate: Japan has an opportunity to redefine "modern manufacturing." When FANUC's robotic arms understand and adapt to dynamic environments through the Cosmos model, when Kubota's tractors make autonomous decisions in farmland, and when SoftBank's communication network provides intelligent connectivity to countless Physical AI devices—Japan is moving from "manufacturing automation" to "manufacturing intelligence." This transformation will not only affect Japanese industry but also reshape the global industrial competitive landscape.