Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator. - Yunduan Cui; Kazuhiko Takahashi; Masafumi Hashimoto (SII, 2013)

Remarks on robot controller application of Clifford multi-layer neural networks. - Yunduan Cui; Kazuhiko Takahashi; Masafumi Hashimoto (AMC, 2014)

Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network. - Kazuhiko Takahashi; Sae Takahashi; Yunduan Cui; Masafumi Hashimoto (EANN, 2014)

Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. - Yunduan Cui; Takamitsu Matsubara; Kenji Sugimoto (Humanoids, 2015)

Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. - Yunduan Cui; Takamitsu Matsubara; Kenji Sugimoto (Humanoids, 2016)

Environment-adaptive interaction primitives for human-robot motor skill learning. - Yunduan Cui; James Poon; Takamitsu Matsubara; Jaime Valls Miró; Kenji Sugimoto; Kimitoshi Yamazaki (Humanoids, 2016)

Local driving assistance from demonstration for mobility aids. - James Poon; Yunduan Cui; Jaime Valls Miró; Takamitsu Matsubara; Kenji Sugimoto (ICRA, 2017)

Deep dynamic policy programming for robot control with raw images. - Yoshihisa Tsurumine; Yunduan Cui; Eiji Uchibe; Takamitsu Matsubara (IROS, 2017)

Pneumatic artificial muscle-driven robot control using local update reinforcement learning. - Yunduan Cui; Takamitsu Matsubara; Kenji Sugimoto (Adv. Robotics, 2017)

Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. - Yunduan Cui; Takamitsu Matsubara; Kenji Sugimoto (Neural Networks, 2017)

Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. - Yunduan Cui; Lingwei Zhu; Morihiro Fujisaki; Hiroaki Kanokogi; Takamitsu Matsubara (CASE, 2018)

Policy Transfer from Simulations to Real World by Transfer Component Analysis. - Takamitsu Matsubara; Yu Norinaga; Yuto Ozawa; Yunduan Cui (CASE, 2018)

Learning Mobility Aid Assistance via Decoupled Observation Models. - James Poon; Yunduan Cui; Jaime Valls Miró; Takamitsu Matsubara (ICARCV, 2018)

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. - Yoshihisa Tsurumine; Yunduan Cui; Kimitoshi Yamazaki; Takamitsu Matsubara (Humanoids, 2019)

Probabilistic Active Filtering for Object Search in Clutter. - James Poon; Yunduan Cui; Junichiro Ooga; Akihito Ogawa; Takamitsu Matsubara (ICRA, 2019)

Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. - Yunduan Cui; Shigeki Osaki; Takamitsu Matsubara (IROS, 2019)

Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. - Yunduan Cui; James Poon; Jaime Valls Miró; Kimitoshi Yamazaki; Kenji Sugimoto; Takamitsu Matsubara (Auton. Robots, 2019)

Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. - Yunduan Cui; Shigeki Osaki; Takamitsu Matsubara (CoRR, 2019)

Learning from demonstration for locally assistive mobility aids. - James Poon; Yunduan Cui; Jaime Valls Miró; Takamitsu Matsubara (Int. J. Intell. Robotics Appl., 2019)

Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. - Yoshihisa Tsurumine; Yunduan Cui; Eiji Uchibe; Takamitsu Matsubara (Robotics Auton. Syst., 2019)

Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. - Cheng-Yu Kuo; Yunduan Cui; Takamitsu Matsubara (ICRA, 2020)

Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. - Lingwei Zhu; Yunduan Cui; Takamitsu Matsubara (ICRA, 2020)

Probabilistic active filtering with gaussian processes for occluded object search in clutter. - Yunduan Cui; Junichiro Ooga; Akihito Ogawa; Takamitsu Matsubara (Appl. Intell., 2020)

Autonomous Vehicle Motion Planning using Kernelized Movement Primitives. - Naitian Deng; Yunduan Cui; Shitian Zhang; Huiyun Li (ISNCC, 2021)

Model Predictive Control of Autonomous Driving using Unscented Kalman Filter with Sparse Spectrum Gaussian Processes. - Shitian Zhang; Yunduan Cui; Naitian Deng; Huiyun Li (ISNCC, 2021)

Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control. - Zhiwei Shang; Huiyun Li; Yunduan Cui (ROBIO, 2021)

Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. - Yunduan Cui; Shigeki Osaki; Takamitsu Matsubara (J. Field Robotics, 2021)

Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. - Cheng-Yu Kuo; Andreas Schaarschmidt; Yunduan Cui; Tamim Asfour; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2021)

Learning Effectively from Intervention for Visual-based Autonomous Driving. - Yunfu Deng; Kun Xu; Yue Hu; Yunduan Cui; Gengzhao Xiang; Zhongming Pan (ITSC, 2022)

Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces. - Deliang Liu; Kun Xu; Yunduan Cui; Yujie Zou; Zhongming Pan (ITSC, 2022)

An Attack Detection Method Based on Spatiotemporal Correlation for Autonomous Vehicles Sensors. - Cuiping Shao; Zujia Miao; Beizhang Chen; Yunduan Cui; Huiyun Li; Hongfeng Shu (ITSC, 2022)

Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes. - Jincheng Wang; Kun Xu; Cuiping Shao; Lei Peng 002; Yunduan Cui (ITSC, 2022)

Robust Model-based Reinforcement Learning USV System Guided by Lyapunov Neural Networks. - Lei Xia; Cuiping Shao; Huiyun Li; Yunduan Cui (ROBIO, 2022)

User intent estimation during robot learning using physical human robot interaction primitives. - Yujun Lai; Gavin Paul; Yunduan Cui; Takamitsu Matsubara (Auton. Robots, 2022)

Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles. - Yunduan Cui; Lei Peng 002; Huiyun Li (IEEE Trans. Ind. Informatics, 2022)

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. - Wenjun Huang; Yunduan Cui; Huiyun Li; Xinyu Wu 001 (CoRR, 2023)

Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. - Renxing Li; Zhiwei Shang; Chunhua Zheng; Huiyun Li; Qing Liang; Yunduan Cui (Appl. Intell., 2023)

Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability. - Yixuan Wang; Zhenwu Chen; Kangshuai Zhang; Yunduan Cui; Lei Peng 002 (CoRR, 2024)

Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. - Yixuan Ku; Chen Guo; Kangshuai Zhang; Yunduan Cui; Hongfeng Shu; Yang Yang 001; Lei Peng 002 (IEEE Intell. Transp. Syst. Mag., 2024)

Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. - Yunduan Cui; Wenbo Shi; Huan Yang 001; Cuiping Shao; Lei Peng 002; Huiyun Li (IEEE Trans. Ind. Informatics, 2024)

Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles. - Jia Liu 007; Yunduan Cui; Jianghua Duan; Zhengmin Jiang; Zhongming Pan; Kun Xu; Huiyun Li (IEEE Trans. Veh. Technol., 2024)

Adaptive sensor attack detection and defense framework for autonomous vehicles based on density. - Zujia Miao; Cuiping Shao; Huiyun Li; Yunduan Cui; Zhimin Tang (Comput. Secur., 2025)

MCAGU-Net: A model for composite fault diagnosis of multi-sensor node networks. - Kangshuai Zhang; Quancheng Zhang; Qi Liu; Yang Yang 001; Yunduan Cui; Lei Peng 002 (Eng. Appl. Artif. Intell., 2025)

Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning USV. - Wenjun Huang; Yunduan Cui; Huiyun Li; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Practical Reinforcement Learning Using Time-Efficient Model-Based Policy Optimization. - Wenjun Huang; Yunduan Cui; Lei Peng 002; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Effective Multi-Agent Deep Reinforcement Learning Control With Relative Entropy Regularization. - Chenyang Miao; Yunduan Cui; Huiyun Li; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Estimating Lyapunov Region of Attraction for Robust Model-Based Reinforcement Learning USV. - Lei Xia; Yunduan Cui; Zhengkun Yi; Huiyun Li; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning - A Case Study of Paste Thickener. - Zhaolin Yuan; ZiXuan Zhang; Xiaorui Li; Yunduan Cui; Ming Li 055; Xiaojuan Ban (IEEE Trans. Ind. Informatics, 2025)

Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions. - Zhiwei Shang; Renxing Li; Chunhua Zheng; Huiyun Li; Yunduan Cui (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning. - Yingzhuo Jiang; Wenjun Huang; Rongdun Lin; Chenyang Miao; Tianfu Sun; Yunduan Cui (CoRR, 2025)

Effective Reinforcement Learning Control using Conservative Soft Actor-Critic. - Xinyi Yuan; Zhiwei Shang; Wenjun Huang; Yunduan Cui; Di Chen; Meixin Zhu (CoRR, 2025)

InstanceBEV: Unifying Instance and BEV Representation for Global Modeling. - Feng Li; Kun Xu; Zhaoyue Wang; Yunduan Cui; Mohammad Masum Billah; Jia Liu 007 (CoRR, 2025)

Reducing the value function over-estimation by Kullback-Leibler divergence regularized distributional actor-critic. - Mingrong Gong; Zhengkun Yi; Yidong Chen 015; Huiyun Li; Yunduan Cui (Appl. Intell., 2025)

Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. - Wenjun Huang; Yunduan Cui; Huiyun Li; Xinyu Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)