Physical Intelligence Lab

Welcome to Physical Intelligence Lab
東京大学大学院 情報理工学系研究科 知能機械情報学専攻
東京大学大学院 情報理工学系研究科 創造情報学専攻(兼担)
東京大学 連携研究機構 次世代知能科学研究センター(AIセンター)(兼務)
東京大学大学院 情報理工学系研究科 先端人工知能学教育寄付講座(兼務)
Department of Mechano-Informatics, Graduate School of Information Science and Technology/
Department of Creative Informatics, Graduate School of Information Science and Technology/
Next Generation Artificial Intelligence Research Center (AI Center)/
Chair for Frontier AI Education, Graduate School of Information Science and Technology,
The University of Tokyo
東京都文京区本郷7-3-1
7-3-1 Hongo, Bunkyo-ku, 113-8656 Tokyo, Japan
Email: k-nakajima[at]isi.imi.i.u-tokyo.ac.jp
Information,
Dynamics,
Computation,...
Soft Robotics,
Physical Reservoir Computing,
Physical Deep Learning,...

"Reservoir computing bootcamp" released
From Python/NumPy tutorial for the complete beginners to cutting-edge research topics of reservoir computing
eng: https://rc-bootcamp.github.io
jpn: https://rc-bootcamp.github.io/ja
github: https://github.com/rc-bootcamp/rc_bootcamp
Reference: K. Inoue, T. Kubota, Q. H. Tran, N. Akashi, R. Terajima, T. Kabayama, J. C. Guan, K. Nakajima,
Reservoir computing bootcamp—from Python/NumPy tutorial for the complete beginners to cutting-edge research topics of reservoir computing, Chaos 36, 023109, 2026. link
(Elected as a cover image of Chaos Volume 36, Issue 2, February 2026)
The content will be regularly updated.
Enjoy!
Call for applications for post-doc positions at Physical Intelligence Lab
We are constantly seeking for highly motivated students and PhD researchers under the project in our lab to work in the fields of nonlinear dynamics, reservoir computing, and physical reservoir computing.
Looking forward to your applications!
特任研究員、大学院生(博士課程・修士課程)を随時募集しています。
興味のある方は、メールにてご連絡ください。
contact: k-nakajima@isi.imi.i.u-tokyo.ac.jp
Reservoir Computing Seminarを開催しています
2026年度夏学期のReservoir Computing Seminarを4月より開催します。
Reservoir Computingを中心に、
ソフトロボティクス、カオス力学系、スピントロニクス、量子機械学習などの
研究発表やジャーナルクラブを行います。
数回特別講演を企画しており、その時は学外の方も参加可能です。参加希望される方は、事前にメールにてご連絡ください。
現在は、zoomによる参加となります。
We are starting the reservoir computing (RC) seminar for spring semester from April, 2026.
The seminar will be on zoom and cover RC approaches to soft robotics, nonlinear dynamics including chaos, spintronics, quantum machine learning.
We are planing for several open lectures by invited speakers, and if you are interested in joining them,
please contact k-nakajima@isi.imi.i.u-tokyo.ac.jp for more details.
2026/04/11
IEEE RoboSoft Half-day Workshop: Exploiting Fluids and Embodied Intelligence in Soft Robotics
date: 11th April 2026, 8:45AM – 12:30PM
place: Room TBC, Kanazawa Institute of Technology, Japan
organizers: Nana Obayashi, Kyle L. Walker, Guanran Pei, Saba Firouznia, Wenzhong Yan, Josie Hughes, Rebecca Kramer-Bottiglio, Fumiya Iida
info: https://www.epfl.ch/labs/create/robosoft-fluids-ei/
summary:
For robots that rely on embodied intelligence, fluids play a central role in shaping the brain (controller), body, and environment. While soft robotics depend on fluids for actuation, sensing, and interaction, the role of fluids in shaping intelligent behavior have been underexplored and have been treated as a passive component rather than an active component of intelligence. To advance the soft robotics field, we must understand how fluids can act as a basic ingredient for intelligence that gives rise to emergent and complex, but adaptive and efficient behavior. This workshop aims to unite researchers across soft robotics, fluid mechanics, biology, and embodied AI to define a framework of Fluid Embodied Intelligence (FEI) and move beyond application-driven research. We instead aim to fundamentally understand how fluids shape intelligence through its nonlinearity, physical computation within, and emergent behaviors.
invited talks:
Johannes T. B. Overvelde (AMOLF/Eindhoven Univ. of Tech.)
Rebecca Kramer-Bottiglio (Yale Univ.)
Jonathan Rossiter (Univ. Bristol)
Ho Young Kim (Seoul National Univ.)
Shuguang Li (Tsinghua Univ.)
Benjamin Gorrissen (KU Leuven)
Saba Firouznia (Univ. Bristol)
Kohei Nakajima (Univ. of Tokyo)
Daniel J. Preston (Rice Univ.)
Guangming Xie (Peking Univ.)
Francesco Stella (Embodied AI)

