Professor Jun Morimoto of the Graduate School of Informatics, Kyoto University, has been appointed as an advisor to KUPAC. We look forward to his guidance for the further development of our community activities.

An introductory hands-on for robot development and research with ROS 2 will be held on April 12. Learn the basics of autonomous mobile robots using TurtleBot3 and Gazebo.

With support from NINEJP, KUPAC will exhibit at SusHi Tech Tokyo 2026 in April 2026. Our booth will showcase KUPAC activities and live demonstrations of real robots.

KUPAC has been selected for the Physical AI Development Support Program by AWS Japan. With access to a powerful GPU cluster, we will advance general-purpose model development by integrating robotics and machine learning expertise.

PhysicsX Live Talk will be held in hybrid format on April 10. The speaker lineup has been updated, and Amir Vaziri and Douglas Boubert from PhysicsX will present on Large Physics Models and AI-native engineering in production. No prior knowledge is needed, and students and professionals are all welcome.

Report on the 7th Physical AI Study Group held on March 3. Through a lecture on biological embodiment by Mr. Haruhiko Adachi (Keio University) and practical insights on Honda IGNITION by Mr. Takumi Matsuzawa (Honda), active discussions were held on both research and social implementation.

KUPAC RoX Webinar will be held online on March 30. Experts from Deutsche Telekom, VDMA, and Fraunhofer IPA will present on dataspace architecture and interoperability in industrial robotics. Registration is now open.

Osawa, representative of KUPAC, will join as a panelist at the 18th Keihanna Science City Advanced Seeds Forum on city development in the Physical AI era. The event will be held on March 6 as a hybrid (on-site + web streaming) format.

The 7th Physical AI Study Group will be held on March 3rd. Two lectures: 'Research on Arthropod Morphogenesis and a Serendipitous Approach' by Haruhiko Adachi from Keio University and 'Social Implementation of Robotics Technology from Honda IGNITION' by Takumi Matsuzawa from Honda Motor Co., Ltd. Please apply via the form.

KUPAC-hosted Kyoto University Robotics Lab Joint Introduction Event will be held on February 16th. Introducing labs from the Faculty of Engineering united by the keyword 'robotics'. Open to Kyoto University students and faculty!

Report on the 6th Physical AI Study Group held on January 14th. We invited Mr. Suzuki from NVIDIA, who spoke about Physical AI including CES 2026 updates, implementation cases in real industries, ecosystem, and development resources.

Report on the 5th Physical AI Study Group held on December 17th. The event featured two presentations: 'Trends and Insights from CoRL 2025' by Mr. Takashi Makihara from AIST, and 'Spiking Neural Network Tutorial for Physical AI' by Mr. Takehiro Habara from the Graduate School of Informatics.

NVIDIA Mr. Suzuki's speaker session will be held on January 14th! Covering a wide range of topics including CES 2026 updates, Physical AI implementation cases, ecosystem, and development resources.

Rhizomatiks × KUPAC Physical AI Talk Event and the 5th Physical AI Study Group will be held on December 17th! We will deliver lectures on CoRL 2025 trends by Mr. Makihara from AIST and Spiking Neural Networks by Mr. Habara.

Assistant Professor Sogi Yagi, the faculty representative of KUPAC, wrote an article on the theme 'Why is Physical AI the Next Frontier?' in Nikkei Business Electronic Edition NIKKEI BOOK PLUS. It introduces the latest trends in Physical AI and KUPAC's activities.

Report on the 4th Physical AI Study Group held on November 26th. It consisted of two parts: 'Introduction to FEP for Physical AI' by Kentaro Nomura from Osaka University and 'Current Status of Physical AI Utilization in the Industrial Sector' by Mitsubishi Corporation, resulting in active discussions.

The 4th Physical AI Study Group will be held on November 26th. Two parts: 'Introduction to FEP for Physical AI' by Kentaro Nomura from Osaka University and 'Current Status of Physical AI Utilization in the Industrial Sector' by Mitsubishi Corporation. Please apply via the form.

Report on the 3rd Physical AI Study Group held on November 5th. Lecture 'Physical AI Initiatives in China' and RDK X5 Hands-on (Originbot Pro (PD)) were conducted, with active discussions and practical exercises.

The Physical AI x Student Ideathon Session held on October 20th ended successfully. 19 students participated, and team 'Earth Engineering' won the grand prize.

The 3rd Physical AI Study Group will be held on November 5th. Lecture 'Physical AI Initiatives in China' provided by Masakazu Takasu and RDK X5 Hands-on (Originbot Pro (PD)). Please apply via the form.

The 2nd Physical AI Study Group held on October 10th ended successfully. 26 participants gathered, and presentations on imitation learning and autonomous driving were given, followed by active interaction.

A student ideathon session themed on Physical AI will be held on October 20th. Prizes and certificates will be presented for excellent ideas. Participation prizes and lunch will be provided for all participants.

We held a hands-on event for imitation learning (ACT) using the SO-100 robot arm and LeRobot library. 6 participants experienced the sequence from data collection on the actual machine to learning and verification.

The 2nd Physical AI Study Group will be held on October 10th. Presentations on variations of imitation learning and how to create autonomous driving are scheduled. Please register in advance.

An imitation learning (ACT) hands-on event using the SO-100 robot arm and LeRobot library will be held on September 29th. Free participation, limited to 6 people.

The KUPAC Kick-off Event held on September 12th ended successfully. 27 participants gathered, and presentations on Physical AI research and active interaction took place.

We are planning to hold a Kick-off Event and the 1st Study Group on September 12th. We look forward to your participation.

KUPAC, a Physical AI community from Kyoto University, has been established. We welcome the participation of students, faculty, and staff interested in Physical AI.