RIKEN Information R&D and Strategy Headquarters Behavior Learning Research Team
Team Leader: Yutaka Nakamura (D.Eng.)
In this team, we conduct research on learning function using reinforcement learning and/or deep neural network, motion generation methods for communicative robots, and control methods for autonomous robots.
Specifically, we will promote research related to the following four points.
- Reinforcement learning of robots interacting with humans.
- Automatic generation of human-like and natural motion of communicative robot based on human cognition.
- Interactive robot operation mechanism through communication.
- Autonomous robots operating in everyday environments.
Main Research Fields
- Complex Systems
Related Research Fields
- Interdisciplinary Science & Engineering
- Intelligent robotics
- Intelligent informatics
- Soft computing
- Reinforcement learning
- Human robot interaction
- Communicative robot
- Motion generation
- Intrinsic motivation
Papers with an asterisk(*) are based on research conducted outside of RIKEN.
*Yusuke Nishimura, Yutaka Nakamura, and HiroshiIshiguro.:
"Human interaction behavior modeling using Generative Adversarial Networks"
Neural Networks, 132, pp.521—531 (2020)
*Mofei Li, Yutaka Nakamura, and Hiroshi Ishiguro.:
"Choice modeling using dot-product attention mechanism"
Artificial Life and Robotics (2020)
*Huthaifa Ahmad, Yoshihiro Nakata, Yutaka Nakamura, Hiroshi Ishiguro.:
"PedestriANS: a bipedal robot with adaptive morphology"
Adaptive behavior (2020)
*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)
*Kenta Maeda, Yoshihiro Nakata, Yutaka Nakamura, Hiroshi Ishiguro.:
"Effect of the cervical structure on the operability of teleoperated humanoid head"
Artificial Life and Robotics, 22(4), pp 497-–502 (2017)
*Yuya Okadome, Yutaka Nakamura, and Hiroshi Ishiguro.:
"A confidence-based roadmap using Gaussian process regression"
Autonomous Robots, 41(4) (2017)
*Ahmed Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro.:
"Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network"
2017 IEEE International Conference on Robotics and Automation (ICRA), pp.1639--1645 (2017)
*Hideyuki RYU, Yoshihiro Nakata, Yutaka Nakamura, and Hiroshi Ishiguro.:
"Adaptive Whole-body Dynamics: An Actuator Network System for Orchestrating Multi-joint Movements"
IEEE Robotics & Automation Magazine, 23(3), pp.85—92 (2016)
*Eri Takano, Takenobu Chikaraishi, Yoshio Matsumoto, Yutaka Nakamura, Hiroshi Ishiguro, and Kazuomi Sugamoto.:
"Psychological effects on interpersonal communication by bystander android using motions based on human-like needs"
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3721—3726 (2009)
*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)
- Yutaka Nakamura
- Team Leader
- Huthaifa Abedallah Mohammad Ahmad
- Research Scientist
- Yuya Okadome
- Research Scientist
3rd Floor, Advanced Telecommunications Research Institute International
2-2-2 Hikaridai Seika-cho, Sorakugun, Kyoto
619-0288 Japan (Kansai Science City)
Email: yutaka.nakamura [at] riken.jp