Wenhan Cao

According to our database, Wenhan Cao authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control.

Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao

IEEE Trans. Autom. Control., February, 2024

Robust State Estimation for Legged Robots with Dual Beta Kalman Filter.

Tianyi Zhang, Wenhan Cao, Chang Liu, Tao Zhang, Jiangtao Li, Shengbo Eben Li

CoRR, 2024

Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation.

Wenhan Cao, Tianyi Zhang, Zeju Sun, Chang Liu, Stephen S.-T. Yau, Shengbo Eben Li

CoRR, 2024

Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform.

Yuxin Lin, Jiaxuan Ma, Sizhe Gu, Jipeng Kong, Bowen Xu, Xiting Zhao, Dengji Zhao, Wenhan Cao, Sören Schwertfeger

CoRR, 2024

Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers.

Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li

CoRR, 2024

Convolutional Bayesian Filtering.

Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li

CoRR, 2024

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem.

Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan

CoRR, 2024

3D-Printed Hydraulic Fluidic Logic Circuitry for Soft Robots.

Yuxin Lin, Xinyi Zhou, Wenhan Cao

CoRR, 2024

Computation-Aware Learning for Stable Control with Gaussian Process.

Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan

Proceedings of the Robotics: Science and Systems XX, 2024

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control.

Wenhan Cao, Wei Pan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Spatiotemporal clustering analysis and zonal prediction model for deformation behavior of super-high arch dams.

Wenhan Cao, Zhiping Wen, Huaizhi Su

Expert Syst. Appl., April, 2023

Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.

Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li

Proceedings of the American Control Conference, 2023

2022

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

CoRR, 2022

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.

Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems.

Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li

CoRR, 2021

Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.

Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Reinforcement Solver for H-infinity Filter with Bounded Noise.

Jie Li, Shengbo Eben Li, Kaiming Tang, Yao Lv, Wenhan Cao

CoRR, 2020

2019

Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.

Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019