NVIDIA announced on July 15, 2026, that Japan’s physical AI leaders are building on the NVIDIA Cosmos, NVIDIA Isaac, NVIDIA Metropolis and NVIDIA Jetson platforms to accelerate the deployment of intelligent machines across manufacturing, mobility, infrastructure and robotics. The company introduced Cosmos 3 Edge, a new addition to the NVIDIA Cosmos 3 open world model family, which brings frontier capabilities to NVIDIA Jetson Thor platforms to help embodied systems see, reason in real time and predict robot actions locally.

NVIDIA Cosmos 3 Edge is a 4-billion-parameter model built on NVIDIA Nemotron that helps robots and vision AI agents understand their surroundings, reason in real time and generate robot actions on NVIDIA edge computers. Using the open NVIDIA Cosmos framework, developers can adapt the model for specific robots, vehicles, sensors and environments in about a day. The model is lightweight enough to run on edge GPUs and can be deployed across NVIDIA RTX GPUs, NVIDIA DGX systems and NVIDIA Jetson, including the newly announced T2000 and T3000 modules.

To further accelerate the development of vision AI agents, NVIDIA is also announcing new NVIDIA Metropolis libraries and skills that help developers use coding agents to build, train and operate video intelligence systems with Cosmos at least 6x faster. NVIDIA is expanding the NVIDIA Cosmos Coalition to Japan, bringing together world model builders, AI developers and physical AI leaders to advance open world models with Cosmos technologies.

Japan’s physical AI ecosystem leaders including AIRoA, classmethod, Enactic, FANUC, Fujitsu, GROOVE X, Hitachi, Honda R&D, Kawasaki Heavy Industries, Kubota, Mitsui & Co., Mitsubishi Corp., Mujin, NEC, Preferred Networks, SoftBank Corp., Sony Group Corporation, Telexistence, TIER IV, TRON K.K., Turing and Yaskawa Electric intend to join the coalition. Coalition members can contribute to and build on the NVIDIA Cosmos platform, which includes open models, data curation libraries, datasets and frameworks.

Fujitsu is exploring business opportunities in physical AI with FANUC, Yaskawa Electric and Kawasaki Heavy Industries. Led by Fujitsu, the initiative aims to build a collaborative control platform integrating NVIDIA’s physical AI stack to bridge digital and physical operations across all industrial sectors. Built with Cosmos world foundation models, the open Isaac robotics development platform, NVIDIA Omniverse NuRec libraries and the Newton physics engine, the platform will support AI model development, digital twins, robot learning, simulation-to-real workflows and pre-deployment validation.

NEC, Hitachi, OMRON and Preferred Networks are using NVIDIA Cosmos and NVIDIA physical AI technologies to advance world models, industrial AI and physical AI R&D. SoftBank Corp. is developing a physical AI development platform built on NVIDIA Cosmos, NVIDIA Omniverse and NVIDIA Isaac Sim. The company is also advancing AI-RAN initiatives using NVIDIA AI Aerial with the aim of delivering intelligent connectivity for billions of physical AI devices. Mujin is exploring NVIDIA Cosmos for autonomous robotics and intelligent industrial automation powered by MujinOS, while TRON K.K. is developing manufacturing data workflows for task-specific physical AI models in assembly, picking, inspection and material handling, as well as factory 3D digitization workflows.

Kawasaki Heavy Industries is applying NVIDIA physical AI technologies across healthcare, shipbuilding, transportation, aerospace and energy; Kubota is exploring Cosmos-based physical AI for autonomous agriculture and smart farming. Enactic is fine-tuning the NVIDIA Isaac GR00T open model for elder-care semi-humanoid robots; GROOVE X is building Jetson-powered companion robots, LOVOT; and Telexistence is applying Isaac and exploring Cosmos for retail automation. Japan’s industry leaders are also using NVIDIA Metropolis to bring Cosmos-powered vision AI agents into physical operations: Hitachi for smart-building operations, OMRON for automated inspection and Shimizu Corporation for construction safety.

Nvidia and Kawasaki Heavy Industries are collaborating to build a robot-equipped shipyard in Japan that utilizes artificial intelligence. The project aims to modernize shipbuilding operations by integrating advanced robotics and AI technologies into the manufacturing process.

The initiative focuses on enhancing efficiency and precision in ship construction. By leveraging Nvidia's AI capabilities and Kawasaki Heavy's industrial expertise, the shipyard will feature automated systems designed to handle complex tasks.

Project Overview

The collaboration combines technological strengths to create a state-of-the-art facility. Key aspects of the project include:

• Integration of AI-driven robotics for ship assembly
• Modernization of traditional shipbuilding methods
• Focus on operational efficiency and safety

Strategic Implications

This partnership highlights the growing convergence of AI and heavy industry. The shipyard is expected to serve as a model for future industrial automation projects in the sector.