PROJECT

General-Purpose Autonomous Humanoids that Grow Through Multi-Layered Teaching and Inheritance

Robots that are taught, learn, and pass skills on. A team of young PIs building Physical AI foundations from Japan.

The Future We Aim For in 2050

Vision
  1. 1Adaptation: picking up the job fast

    Adaptation: picking up the job fast

    On day one, the owner drills the robot in the job — by voice, by example, and hand over hand.

  2. 2Generalization: handling work it was never taught

    Generalization: handling work it was never taught

    Within a week, simple spoken instructions are enough — even for unfamiliar tasks.

  3. 3Transfer: teaching robots and people

    Transfer: teaching robots and people

    Combining the owner’s lessons with its own know-how, it teaches the newcomers.

  4. 4Trusted to run the shop

    Trusted to run the shop

    Years pass, and the owner grows old. The robot takes charge of the shop, leading people and robots.

News

  • PM Kawaharazuka and Colleagues Visit PI Miyazawa and Associate Professor Horii at The University of Osaka
  • Project Manager Kento Kawaharazuka delivered a keynote talk at the 23rd International Conference on Ubiquitous Robots (UR 2026).
  • The official MIRAI Humanoid project website is now open.
All news →

Team

Young PI Team

More about the team →

Nine PIs integrate their research on a shared platform.

  • Kento Kawaharazuka
    PMPI

    Kento Kawaharazuka

    The University of Tokyo

    Lecturer

    01Body Design and Learning Control

  • Masaki Murooka
    PI

    Masaki Murooka

    National Institute of Advanced Industrial Science and Technology

    Senior Researcher

    02Behavior Foundation Models

  • Shuhei Kurita
    PI

    Shuhei Kurita

    National Institute of Informatics

    Assistant Professor

    03Robot Foundation Models

  • Asako Kanezaki
    PI

    Asako Kanezaki

    Tohoku University

    Professor

    04Spatial Foundation Models

  • Satoshi Yagi
    PI

    Satoshi Yagi

    The University of Osaka

    Project Associate Professor

    05Inheritance Humanoid Systems

  • Kazuki Miyazawa
    PI

    Kazuki Miyazawa

    The University of Osaka

    Assistant Professor

    06Teaching Humanoid Systems

  • Kohei Honda
    PI

    Kohei Honda

    Nagoya University

    Assistant Professor

    07Growth through Real-World Experience

  • Chie Hieida
    PI

    Chie Hieida

    The University of Electro-Communications

    Associate Professor

    08Emotion Models

  • Taisuke Kobayashi
    PI

    Taisuke Kobayashi

    National Institute of Informatics

    Assistant Professor

    09Robot Learning Theory

Research Architecture

3 research themes, 9 research projects

Explore the research →

Projects are not a fixed hierarchy. Every PI works across the three themes, integrating results on a shared platform.

  1. Theme 1

    Humanoid R&D suited to teaching and inheritanceHumanoid

  2. Theme 2

    Foundation systems enabling teaching and inheritanceFoundation systems

  3. Theme 3

    Task execution and social implementation based on teaching and inheritanceTasks & society

  1. 01Body design and learning control suited to teaching and inheritanceKawaharazuka
  2. 02Behavior foundation models that grow through teaching and inheritanceMurooka
  3. 03Robot foundation models that grow through teaching and inheritanceKurita
  4. 04Spatial foundation models that connect diverse modalities and growKanezaki
  5. 05Humanoid systems enabling multi-layered inheritanceYagi
  6. 06Humanoid systems enabling multi-layered teachingMiyazawa
  7. 07Humanoid systems that grow through real-world experienceHonda
  8. 08Robot emotion models enabling teaching and inheritanceHieida
  9. 09Robot learning theory extending teaching into inheritanceKobayashi

Roadmap

Milestones toward 2030

  1. 2026

    Prototypes and initial foundations

    Initial research platforms and foundation models.

  2. 2028

    Demonstration under known conditions

    Teaching and inheritance in known environments, tasks, and bodies.

  3. 2030

    Real-robot demonstration under unknown conditions

    Adaptation to unknown environments, tasks, and bodies; spot work; skill inheritance on real robots.

Platforms

Research Platforms

Early exploration runs on off-the-shelf and joint platforms, in parallel we develop MEVA — our own open-source humanoid — and ultimately integrate the results.

  • Developed in this project

    MEVA

    Planned

    An open-source humanoid to be developed by this project.

  • Joint research

    PFH

    Joint research platform

    A humanoid robot developed by Toyota Motor Corporation. We collaborate on hardware feedback and software development.

  • Off-the-shelf

    Unitree G1

    In use for early exploration

    An off-the-shelf platform used for early exploration.

Join Us

Join the project

Together with researchers, students, and industry, we are building Physical AI foundations for teaching and inheritance.

Researchers & students

Research participation, RA positions, and internships in PI labs.

Student community

Student community activities around Physical AI.

Industry

Co-creation of demonstration tasks, joint research, and technology transfer.

How to join →

Institutions

Participating institutions

Universities & Research Institutes

The University of Tokyo, AIST, National Institute of Informatics, Tohoku University, The University of Osaka, Nagoya University, The University of Electro-Communications, Kyoto University, Institute of Science Tokyo

Industry Partners

Toyota Motor Corporation

Funding / Governance

Japan Science and Technology Agency (JST)