Yunduan Cui

According to our database, Yunduan Cui authored at least 43 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2024

Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles.

Jia Liu, Yunduan Cui, Jianghua Duan, Zhengmin Jiang, Zhongming Pan, Kun Xu, Huiyun Li

IEEE Trans. Veh. Technol., June, 2024

Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation.

Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li

IEEE Trans. Ind. Informatics, February, 2024

Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction.

Yixuan Ku, Chen Guo, Kangshuai Zhang, Yunduan Cui, Hongfeng Shu, Yang Yang, Lei Peng

IEEE Intell. Transp. Syst. Mag., 2024

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

CoRR, 2024

2023

Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization.

Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui

Appl. Intell., November, 2023

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization.

Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu

CoRR, 2023

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling.

Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu

CoRR, 2023

2022

Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles.

Yunduan Cui, Lei Peng, Huiyun Li

IEEE Trans. Ind. Informatics, 2022

User intent estimation during robot learning using physical human robot interaction primitives.

Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara

Auton. Robots, 2022

Robust Model-based Reinforcement Learning USV System Guided by Lyapunov Neural Networks.

Lei Xia, Cuiping Shao, Huiyun Li, Yunduan Cui

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes.

Jincheng Wang, Kun Xu, Cuiping Shao, Lei Peng, Yunduan Cui

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces.

Deliang Liu, Kun Xu, Yunduan Cui, Yujie Zou, Zhongming Pan

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning Effectively from Intervention for Visual-based Autonomous Driving.

Yunfu Deng, Kun Xu, Yue Hu, Yunduan Cui, Gengzhao Xiang, Zhongming Pan

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach.

Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara

J. Field Robotics, 2021

Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control.

Zhiwei Shang, Huiyun Li, Yunduan Cui

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

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

Shitian Zhang, Yunduan Cui, Naitian Deng, Huiyun Li

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Autonomous Vehicle Motion Planning using Kernelized Movement Primitives.

Naitian Deng, Yunduan Cui, Shitian Zhang, Huiyun Li

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020

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

Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara

Appl. Intell., 2020

Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning.

Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Learning from demonstration for locally assistive mobility aids.

James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara

Int. J. Intell. Robotics Appl., 2019

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

Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara

CoRR, 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 Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach.

Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Probabilistic Active Filtering for Object Search in Clutter.

James Poon, Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara

Proceedings of the International Conference on Robotics and Automation, 2019

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

Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018

Learning Mobility Aid Assistance via Decoupled Observation Models.

James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara

Proceedings of the 15th International Conference on Control, 2018

Policy Transfer from Simulations to Real World by Transfer Component Analysis.

Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, Yunduan Cui

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

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

Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

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

Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto

Neural Networks, 2017

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

Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto

Adv. Robotics, 2017

Deep dynamic policy programming for robot control with raw images.

Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Local driving assistance from demonstration for mobility aids.

James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

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

Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miró, Kenji Sugimoto, Kimitoshi Yamazaki

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

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

Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

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

Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

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

Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto

Proceedings of the Engineering Applications of Neural Networks, 2014

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

Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto

Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014

2013

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

Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013