Hitachi and FANUC will co-develop Physical AI robots trained on live factory floors, not simulations.

Hitachi and FANUC's strategic partnership combines Hitachi's HMAX Industry AI with FANUC's AI-enabled industrial robots to build Physical AI solutions validated on Hitachi Group shop floors. Initial tasks include parts picking, varied-shape handling, and production changeovers, with customer rollouts planned from fiscal 2027. Shops evaluating this should ask suppliers how the systems learn from real processes rather than simulations alone.

Hitachi and FANUC have formed a strategic partnership to develop Physical AI for manufacturing, combining Hitachi's HMAX Industry AI with FANUC's AI-enabled industrial robots.

Hitachi Group factories will act as the real-world validation environment, with initial use cases covering parts picking, handling components of varying shapes, and managing production changeovers. The goal is more autonomous manufacturing processes without losing reliability or precision. FANUC President and CEO Kenji Yamaguchi said the approach treats Hitachi's facilities as "Customer Zero" to prove solutions in real production environments. Applications are expected across automotive, logistics, semiconductors, pharmaceuticals, food production, and advanced materials manufacturing. Customer deployments begin from fiscal 2027.

How will Hitachi and FANUC's partnership improve manufacturing productivity and flexibility?

Frequently asked questions

What specific manufacturing challenges will Physical AI address in industries like automotive and logistics?

Physical AI will address challenges such as parts picking, handling components with varying shapes, and managing production changeovers. These solutions will be tailored for industries like automotive, logistics, semiconductors, pharmaceuticals, food production, and advanced materials manufacturing, aiming to improve operational efficiency and adaptability.

What role will Hitachi's factories play in developing Physical AI solutions?

Hitachi's factories will serve as real-world validation environments, allowing both companies to refine and train Physical AI applications directly on the shop floor. This approach ensures the solutions are practical and effective in actual manufacturing settings.

When will Physical AI solutions be available to customers?

Hitachi and FANUC plan to begin deploying Physical AI solutions to customers from fiscal 2027. This timeline reflects the development and validation activities currently underway.

How will the partnership impact the future of smart manufacturing?

The partnership aims to accelerate the adoption of Physical AI, supporting more autonomous industrial operations. This aligns with the growing need for intelligent manufacturing environments that can address labor shortages, production complexity, and the demand for greater flexibility.

What is the significance of positioning Hitachi's manufacturing facilities as 'Customer Zero'?

By positioning Hitachi's facilities as 'Customer Zero,' the partnership ensures that Physical AI solutions are tested and validated in real production environments. This approach allows for the development of reliable and practical solutions that can be implemented across various manufacturing sectors globally.

What are the potential long-term impacts of Physical AI on the workforce and skill requirements in manufacturing?

The full answer is in the original report. Read it at FANUC Europe.

Get the expert read at FANUC Europe

SM

Simon Morton

Editor, M4SNews

With a background in heavy engineering, process engineering, digital marketing & AI. My mission, to cut through the news and make it easy to digest.

M4SNews marks eighteen years of independent operation, connecting manufacturers and engineers with the intelligence that actually matters on the factory floor.

Is this your company?

This article features your business. Claim it to add your logo, contact details, and a link to your website — or upgrade to reach more buyers.

Did you know 80% of Press Releases trigger AI content warnings? Reach out and the M4S team can assist.