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Yunduan Cui

Associate Professor

Center for Automotive Electronics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (SIAT)

About me

Experience


2020 Apr - present
Associate Professor
Center for Automotive Electronics,
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.

2019 Apr - 2020 Mar
Researcher
Robot Learning Laboratory,
Nara Institute of Science and Technology, Japan.

2017 Oct - 2019 Mar
Research Assistant Professor
Intelligent System Control Laboratory,
Nara Institute of Science and Technology, Japan.

2015 Apr - 2017 Sep
Research Assistant
Intelligent System Control Laboratory,
Nara Institute of Science and Technology, Japan.

2017 Mar
Visiting Scholar
Centre for Autonomous Systems,
University of Technology, Sydney, Australia.

2015 Oct - 2016 Jan
Visiting Scholar
Centre for Autonomous Systems,
University of Technology, Sydney, Australia.

Education


2014 Oct - 2017 Sep
Ph. D in Computer Science
Nara Institute of Science and Technology, Japan.

2012 Sep -2014 Sep
MEng in Computer Science
Doshisha University, Japan.

2008 Aug - 2012 Jul
BSc in Electronic Engineering
Xidian University, China.

Award


2019 Nov
SICE International Young Authors Award 2019 (IROS)
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems

2018 Oct
2018 Japanese Neural Network Society Best Paper Award

2018 Mar
NAIST Best Student Award (Doctor Course)
Nara Institute of Science and Technology

2016 Nov
The Best Oral Paper Award
2016 IEEE-RAS 16th International Conference on Humanoid Robots

2016 Apr - 2017 Sep
Japanese Government Scholarship (MEXT)

Professional Memberships and Activities


Membership

The Institute of Electrical and Electronic Engineers (IEEE)

The Robotics Society of Japan (RSJ)

Japanese Neural Network Society (JNNS)

The Society of Instrument and Control Engineers (SICE)

Reviewer:

ICRA, IROS, CoRL, Humanoids

Neural Networks

IEEE Transactions on Industrial Informatics

IEEE Robotics and Automation Letters

IEEE Transactions on Cybernetics

Autonomous Robots

Robotics and Autonomous Systems

IEEE Access

Advanced Robotics

Committee:

IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) 2019

Publications

Journal


  1. Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, and Takamitsu Matsubara. “Uncertainty-aware Contact-safe Model-based Reinforcement Learning.” IEEE Robotics and Automation Letters (with ICRA 2021), 2021. link

  2. Yunduan Cui, Osaki Shigeki, and Takamitsu Matsubara. “Autonomous Boat Driving System using Sample-efficient Model Predictive Control-based Reinforcement Learning Approach.” Journal of Field Robotics, 2020. link

  3. Yunduan Cui, Junichiro Ooga, Akihito Ogawa, and Takamitsu Matsubara. “Probabilistic Active Filtering with Gaussian Processes for Occluded Object Search in Clutter.” Applied Intelligence, 2020. link

  4. Lingwei Zhu, Yunduan Cui, Go Takami, Hiroaki Kanokogi, and Takamitsu Matsubara. “Scalable Reinforcement Learning for Plant-wide Control of Vinyl Acetate Monomer Process.” Control Engineering Practice, 2020. link

  5. Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, and Takamitsu Matsubara. “Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation.” Robotics and Autonomous Systems, 2018. link

  6. Yunduan Cui, James Poon, Jaime Valls Miro, Kimitoshi Yamazaki, Kenji Sugimoto, and Takamitsu Matsubara. “Environment-adaptive interaction primitives through visual context for human–robot motor skill learning.” Autonomous Robots, 2018. link

  7. Yunduan Cui, Takamitsu Matsubara, and Kenji Sugimoto. “Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states.” Neural Networks, 2017. (2018 Japanese Neural Network Society Best Paper Award) link

  8. Yunduan Cui, Takamitsu Matsubara, and Kenji Sugimoto. “Pneumatic artificial muscle-driven robot control using local update reinforcement learning.” Advanced Robotics, 2017. link

International Conference


  1. Lingwei Zhu, Yunduan Cui, and Takamitsu Matsubara. “Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning.” IEEE International Conference on Robotics and Automation (ICRA) 2020. link

  2. Cheng-Yu Kuo, Yunduan Cui, and Takamitsu Matsubara. “Sample-and-computational-efficient Probabilistic Model Predictive Control with Random Features.” IEEE International Conference on Robotics and Automation (ICRA) 2020. link

  3. Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara. “Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019. ArXiv preprint arXiv:1901.07905 SICE International Young Authors Award 2019 (IROS) link

  4. Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara. “Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation” IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2019. link

  5. James Poon, Yunduan Cui, Junichiro Ohga, Akihito Ogawa, and Takamitsu Matsubara. “Probabilistic Active Filtering for Object Search in Clutter.” IEEE International Conference on Robotics and Automation (ICRA) 2019. link

  6. James Poon, Yunduan Cui, Jaime Valls Miro, Takamitsu Matsubara. “Learning Mobility Aid Assistance via Decoupled Observation Models.” International Conference on Control, Automation, Robotics and Vision (ICARCV 2018). link

  7. Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, and Takamitsu Matsubara. “Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control.” IEEE International Conference on Automation Science and Engineering (CASE) 2018. link

  8. Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, and Yunduan Cui. “Policy Transfer from Simulations to Real World by Transfer Component Analysis.” IEEE International Conference on Automation Science and Engineering (CASE) 2018. link

  9. Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, and Takamitsu Matsubara. “Deep Dynamic Policy Programming for Robot Control with Raw Images.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017. link

  10. James Poon, Yunduan Cui, Jaime Valls Miro, Takamitsu Matsubara, and Kenji Sugimoto. “Local Driving Assistance from Demonstration for Mobility Aids.” IEEE International Conference on Robotics and Automation (ICRA) 2017. link

  11. Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miro, Kenji Sugimoto, and Kimitoshi Yamazaki. “Environment-adaptive Interaction Primitives for Human-Robot Motor Skill Learning.” IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2016. link

  12. Yunduan Cui, Takamitsu Matsubara, and Kenji Sugimoto. “Kernel Dynamic Policy Programming: Practical Reinforcement Learning for High-dimensional Robots.” IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2016. ( Best Oral Paper Award) link

  13. Yunduan Cui, Takamitsu Matsubara, and Kenji Sugimoto. “Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control.” IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2015. link

  14. Yunduan Cui, Kazuhiko Takahashi, and Masafumi Hashimoto. “Remarks on quaternion neural network based controller with application to an inverted pendulum.” 2014 SICE Annual Conference. link

  15. Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui and Masafumi Hashimoto. “Remarks on computational facial expression recognition from HOG features using quaternion multi-layer neural network.” 2014 International Conference on Engineering Applications of Neural Networks. link

  16. Yunduan Cui, Kazuhiko Takahashi, and Masafumi Hashimoto. “Remarks on robot controller application of Clifford multi-layer neural networks.” 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC). link

  17. Yunduan Cui, Kazuhiko Takahashi, and Masafumi Hashimoto. “Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator.” 2013 IEEE/SICE International Symposium on System Integration (SII). link

Contact

Email address

yd.cui[at]siat.ac.cn

cuiyunduan[at]hotmail.com