Kawasaki, NVIDIA Partner on Digital Shipyard Project

A New Digital Push for Commercial Shipbuilding

Kawasaki Heavy Industries has launched a collaboration with NVIDIA Corporation aimed at building what the companies describe as a next-generation digital shipyard, according to a report by Smart Maritime Network. The initiative combines physical artificial intelligence and digital twin technology to support commercial shipbuilding processes.

The partnership will bring together Kawasaki’s data and robotics capabilities with NVIDIA’s AI and digital twin expertise to create a production system linking every stage of vessel construction—from initial design through final assembly. The work will be centered at Kawasaki’s Sakaide Works in Sakaide City, Kagawa Prefecture, and forms part of a government-supported R&D project building on Kawasaki’s existing digital and AI-driven robotics efforts.

Physical AI Across the Vessel Lifecycle

The collaboration will draw on NVIDIA’s physical AI stack to integrate autonomous systems, robotics, and simulation technology. According to the companies, the longer-term goal is to establish a stable vessel supply system and eventually extend physical AI applications across a vessel’s full lifecycle, including operations, maintenance, and servicing.

Yasuhiko Hashimoto, President, Representative Director and CEO of Kawasaki Heavy Industries, said the collaboration marks a step forward in applying AI to shipbuilding. “By combining the shipbuilding technology we have cultivated over many years with NVIDIA’s advanced AI and simulation technology, we will achieve more sophisticated design, production optimization, and skills transfer,” he said.

Focus Areas

The partners outlined three key areas of work: optimizing shipyard processes using Bill of Materials and Bill of Process data; building a framework to rapidly deploy Kawasaki-developed robots for tasks such as welding, painting, inspection, and material handling; and connecting construction data with post-delivery services so that information from operations, maintenance, and refits can feed back into future shipbuilding work.

Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA, described the project as an example of how physical AI and industrial digital twins can transform heavy industry operations, noting that NVIDIA would continue supporting the effort through its Omniverse and Isaac platforms.

The move reflects a broader trend of shipbuilders exploring AI, robotics, and digital twin technology to address efficiency and workforce challenges in vessel construction, a theme also echoed in related industry initiatives such as workforce development efforts covered elsewhere in the sector.

Apeks view — Linking design, robotics, and post-delivery data into one shipbuilding system is an ambitious goal, and the stated intent to feed operational and maintenance information back into construction is notable. For owners and technical managers, the real test will be whether that data proves traceable and verifiable in practice, not just described in a press release. Digital twins and physical AI can accelerate design and production decisions, but skilled engineers must still validate outputs before they inform fleet-level choices.