Yunduan Cui

发表

Learning from demonstration for locally assistive mobility aids

Takamitsu Matsubara, James Poon, Yunduan Cui, 2019, International Journal of Intelligent Robotics and Applications.

Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2017, Neural Networks.

Remarks on robot controller application of Clifford multi-layer neural networks

Kazuhiko Takahashi, Masafumi Hashimoto, Yunduan Cui, 2014, 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC).

Probabilistic active filtering with gaussian processes for occluded object search in clutter

Takamitsu Matsubara, Yunduan Cui, Jun’ichiro Ooga, 2020, Applied Intelligence.

Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning

Takamitsu Matsubara, Yunduan Cui, Lingwei Zhu, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Pneumatic artificial muscle-driven robot control using local update reinforcement learning

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2017, Adv. Robotics.

Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation

Takamitsu Matsubara, Yoshihisa Tsurumine, Yunduan Cui, 2019, Robotics Auton. Syst..

Scalable reinforcement learning for plant-wide control of vinyl acetate monomer process

Takamitsu Matsubara, Yunduan Cui, Go Takami, 2020 .

Local driving assistance from demonstration for mobility aids

Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach pdf

Takamitsu Matsubara, Yunduan Cui, Shigeki Osaki, 2019, ArXiv.

Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Policy Transfer from Simulations to Real World by Transfer Component Analysis

Takamitsu Matsubara, Yunduan Cui, Yuto Ozawa, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Uncertainty-aware Contact-safe Model-based Reinforcement Learning pdf

Takamitsu Matsubara, Tamim Asfour, Yunduan Cui, 2020, ArXiv.

Probabilistic Active Filtering for Object Search in Clutter

Takamitsu Matsubara, James Poon, Yunduan Cui, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Environment-adaptive interaction primitives for human-robot motor skill learning

Kimitoshi Yamazaki, Jaime Valls Miró, Takamitsu Matsubara, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation

Kimitoshi Yamazaki, Takamitsu Matsubara, Yoshihisa Tsurumine, 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).

Optimal Control Approach for Active Local Driving Assistance in Mobility Aids

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2016 .

Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features

Takamitsu Matsubara, Yunduan Cui, Cheng-Yu Kuo, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator

Kazuhiko Takahashi, Masafumi Hashimoto, Yunduan Cui, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach

Takamitsu Matsubara, Yunduan Cui, Shigeki Osaki, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Environment-adaptive interaction primitives through visual context for human–robot motor skill learning

Kimitoshi Yamazaki, Jaime Valls Miró, Takamitsu Matsubara, 2018, Auton. Robots.

Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control

Takamitsu Matsubara, Yunduan Cui, Lingwei Zhu, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Learning Mobility Aid Assistance via Decoupled Observation Models

Jaime Valls Miró, Takamitsu Matsubara, Yunduan Cui, 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Deep dynamic policy programming for robot control with raw images

Takamitsu Matsubara, Yoshihisa Tsurumine, Yunduan Cui, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network

Kazuhiko Takahashi, Masafumi Hashimoto, Yunduan Cui, 2014, EANN.

Autonomous Vehicle Motion Planning using Kernelized Movement Primitives

Huiyun Li, Yunduan Cui, Shitian Zhang, 2021, 2021 International Symposium on Networks, Computers and Communications (ISNCC).

A Speedy Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Vehicles Considering Fuel Cell System Lifetime

Suk Won Cha, Yunduan Cui, Wei Li, 2021, International Journal of Precision Engineering and Manufacturing-Green Technology.

Model Predictive Control of Autonomous Driving using Unscented Kalman Filter with Sparse Spectrum Gaussian Processes

Huiyun Li, Yunduan Cui, Shitian Zhang, 2021, 2021 International Symposium on Networks, Computers and Communications (ISNCC).