KAWASAKI, Japan and PITTSBURGH, April 23, 2026 /PRNewswire/ -- Fujitsu Limited and Carnegie Mellon University (CMU) today announced the launch of the Fujitsu-Carnegie Mellon Physical AI Research Center. At the Center, Fujitsu and CMU will jointly advance research and development of core technologies to enhance the capabilities and scalability of physical AI, with the aim of serving as a global research hub that drives the social implementation of these technologies.

Research focus and objectives

Physical AI is expected to contribute to addressing key societal challenges--such as improving productivity, mitigating labor shortages, and ensuring safety--by enabling AI systems to operate in the real world and interact with people and their environments, thereby driving the automation and optimization of operations across sectors including manufacturing, logistics, construction, infrastructure, and healthcare.

However, realizing this vision requires the integration of expertise and technologies across multiple domains, including robotics, AI, simulation, human-robot interaction, and ethics and social acceptance. This makes not only advancements in individual fields essential, but also interdisciplinary collaboration and efforts that bridge academic research with real-world deployment.

Fujitsu and CMU established the Fujitsu-Carnegie Mellon Physical AI Research Center to address these challenges through an integrated research approach that brings together interdisciplinary expertise and connects academia and industry .

A multidisciplinary collaboration

At the Center, reflecting the interdisciplinary nature of physical AI, faculty members from CMU across a wide range of disciplines--including robotics, machine learning, language technologies, human-computer interaction, electrical and computer engineering, civil and environmental engineering, and philosophy--participate in the joint research. Researchers will work alongside Fujitsu scientists, engineers, and technicians to develop physical AI systems designed to tackle real-world challenges. This close collaboration with industry informs and inspires new research directions to meet critical demand.

Participating researchers include:

Yonatan Bisk, Assistant Professor, Language Technologies
Fernando De La Torre, Research Professor, Robotics
Tim Dettmers, Assistant Professor, Machine Learning
Laszlo Jeni, Assistant Research Professor, Robotics
Kris Kitani, Associate Research Professor, Robotics
David Lindlbauer, Assistant Professor, Human-Computer Interaction
Yorie Nakahira, Assistant Professor, Electrical and Computer Engineering
Graham Neubig, Associate Professor, Language Technologies
Jean Oh, Associate Research Professor, Robotics
Sean Qian, Professor, Civil and Environmental Engineering
Sebastian Scherer, Associate Research Professor, Robotics
Peter Spirtes, Department Head and Professor, Philosophy
Kun Zhang, Professor, Philosophy

For full release click here

Logo -

View original content:https://www.prnewswire.co.uk/news-releases/fujitsu-and-carnegie-mellon-university-launch-joint-center-for-physical-ai-302751603.html

Images

Tags

More Like This

Fujitsu develops multi-AI agent collaboration technology to optimize supply chains, launches joint trials

Fujitsu and Macquarie University partner to help address critical shortage of machine learning engineers

Fujitsu expands strategic collaboration with NVIDIA to deliver full-stack AI infrastructure

Fujitsu and AMD to begin strategic partnership to develop more sustainable computing infrastructure intended to accelerate open-source AI initiatives

Fujitsu develops video analytics AI agent to support safe, secure, and efficient frontline workplaces

Fujitsu develops world's first multi-AI agent security technology to protect against vulnerabilities and new threats

Fujitsu to offer AI agents that can both collaborate and engage in high-level tasks autonomously

Fujitsu develops generative AI reconstruction technology for optimized and energy-efficient AI models based on Takane LLM