RIKEN Information R&D and Strategy Headquarters Behavior Learning Research Team
Team Leader: Yutaka Nakamura (D.Eng.)
Research Summary
While humans engage in dialogue, they use not only language but also various modalities such as gestures. This team is measuring the participants' behaviors interacting with each other and modeling them using deep learning. We are also developing a framework for motion control of communication robots using the models obtained through learning. We are working on the following specific research topics:
- Reinforcement learning for human robot interaction
- Deep generative model for the behaviors during dialogue
- Development of a control framework for communication robot
Main Research Fields
- Complex Systems
Related Research Fields
- Engineering
- Informatics
- Interdisciplinary Science & Engineering
- Intelligent robotics
- Intelligent informatics
- Soft computing
Keywords
- Human robot interaction
- Generative model
- Reinforcement learning
- Motion generation
- Communication robot
Selected Publications
Papers with an asterisk(*) are based on research conducted outside of RIKEN.
- 1.
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) - 2.
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) - 3.
Naoki Ise, Yoshihiro Nakata, Yutaka Nakamura, Hiroshi Ishiguro.:
"Gaze motion and subjective workload assessment while performing a task walking hand in hand with a mobile robot"
International Journal of Social Robotics (2022) - 4.
Huthaifa Ahmad, Yutaka Nakamura.:
"A robot that is always ready for safe physical interactions"
Interdisciplinary Conference on Mechanics, Computers and Electrics (ICMECE 2022) - 5.
Satoshi Yagi, Yoshihiro Nakata, Yutaka Nakamura, Hiroshi Ishiguro.:
"Can an android’s posture and movement discriminate against the ambiguous emotion perceived from its facial expressions?"
Plos ONE (2021) - 6.
Yusuke Nishimura, Yutaka Nakamura, and Hiroshi Ishiguro.:
"Human interaction behavior modeling using Generative Adversarial Networks"
Neural Networks, 132, pp.521-531 (2020) - 7.
*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) - 8.
*Yuya Okadome, Yutaka Nakamura, and Hiroshi Ishiguro.:
"A confidence-based roadmap using Gaussian process regressio"
Autonomous Robots, 41(4) (2017) - 9.
*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)
Related Links
Lab Members
Principal investigator
- Yutaka Nakamura
- Team Leader
Core members
- Huthaifa Abedallah Mohammad Ahmad
- Research Scientist
- Liliana Villamar Gomez
- Postdoctoral Researcher
Careers
Position | Deadline |
---|---|
Seeking a few Research Scientists or Postdoctoral Researchers (W23315) | Open until filled |
Contact Information
3rd Floor, Advanced Telecommunications Research Institute International
2-2-2 Hikaridai Seika-cho, Sorakugun, Kyoto
619-0288 Japan (Kansai Science City)
Tel: +81-(0)774-95-1360
Email: yutaka.nakamura [at] riken.jp