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Data and Computational Sciences Integration Research Program Physical AI Honda Joint Team

Team Director: Tatsuya Harada (D.Eng.)

Research Summary

Tatsuya Harada

The “Physical AI Research and Development Team” develops foundational technologies that enable AI to understand the real world through senses such as vision and touch, and to act flexibly in response to different situations. We will apply the results of projects such as those conducted under NEDO to a wide range of industrial sectors through joint research and demonstrations with companies, thereby accelerating the societal implementation of Physical AI.

Main Research Fields

  • Informatics

Related Research Fields

  • Engineering

Keywords

  • Physical AI
  • Multimodal model
  • Machine learning

Selected Publications

  • 1. Dexuan Zhang, Qianyu Zhou, Thomas Westfechtel, Yusuke Mukuta, Tatsuya Harada.
    "Bridging Theory and Practice in Source-Free Domain Adaptation via Adversarial Proxy Perturbation."
    The 19th European Conference on Computer Vision (ECCV), 2026.
  • 2. Kazuki Ota, Takayuki Osa, Motoki Omura, Tatsuya Harada.
    "Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games."
    Forty-third International Conference on Machine Learning (ICML), 2026.
  • 3. Yasuhiro Kato, Thomas Westfechtel, Jen-Yen Chang, Naoki Morihira, Akinobu Hayashi, Tatsuya Harada, Takayuki Osa.
    "Unsupervised Domain Adaptation for Robust Imitation Learning under Visual Perturbations."
    IEEE International Conference on Robotics and Automation (ICRA), 2026.
  • 4. Haruki Abe, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada.
    "Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets."
    The Fourteenth International Conference on Learning Representations (ICLR), 2026.
  • 5. Naoki Morihira, Amal Nahar, Kartik Bharadwaj, Yasuhiro Kato, Akinobu Hayashi, Tatsuya Harada.
    "R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation."
    The Fourteenth International Conference on Learning Representations (ICLR), 2026.

Lab Members

Principal investigator

Tatsuya Harada
Team Director

Contact Information

Engineering Building #2
7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan
Email: tatsuya.harada@riken.jp

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