研究概要

主要論文

「*」は、理研外のみでの成果です。

• 1. Yuya Okadome and Yutaka Nakamura.
  "Feature extraction method using lag operation for sub-grouped multidimensional time series data."
  IEEE Access, Volume: 12, Page(s): 98945 – 98959(2024)
• 2. Huthaifa Ahmad, Yutaka Nakamura.
  "A Study on Designing a Robot with Body Features Tailored for Coexistence with Humans in Daily Life Environments."
  33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)(2024)
• 3. Zhichao Chen, Yutaka Nakamura, Hiroshi Ishiguro.
  "Outperformance of Mall-Receptionist Android as Inverse Reinforcement Learning Is Transitioned to Reinforcement Learning,"
  IEEE Robotics and Automation Letters(2023)
• 4. 岡留 有哉, 阿多 健史郎, 石黒 浩, 中村 泰.
  "対話中の振る舞い予測のための時間的整合性に注目した自己教師あり学習"
  人工知能学会論文誌 (2022)
• 5. Zhichao Chen, Nakamura Yutaka, Hiroshi Ishiguro.
  "Android As a Receptionist in a Shopping Mall Using Inverse Reinforcement Learning"
  IEEE/RSJ International Conference on Intelligent Robots and Systems (2022)
• 6. Huthaifa Ahmad, Yutaka Nakamura
  "A robot that is always ready for safe physical interactions"
  Interdisciplinary Conference on Mechanics, Computers and Electrics (ICMECE 2022)
• 7. *Yusuke Nishimura, Yutaka Nakamura, and Hiroshi Ishiguro.
  "Human interaction behavior modeling using Generative Adversarial Networks"
  Neural Networks, 132, pp.521—531 (2020)
• 8. *Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, and Hiroshi Ishiguro.
  "Intrinsically motivated reinforcement learning for human–robot interaction in the real-world"
  Neural Networks, 107, pp. 23—33 (2018)
• 9. *Yuya Okadome, Yutaka Nakamura, and Hiroshi Ishiguro.
  "A confidence-based roadmap using Gaussian process regressio"
  Autonomous Robots, 41(4) (2017)
• 10. *Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, and Shin Ishii.
  "Reinforcement learning for a biped robot based on a CPG-actor-critic method"
  Neural Networks, 20(6), pp.723-735 (2007)

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