Hongzhe Yu

According to our database, Hongzhe Yu authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

PISTO: Proximal Inference for Stochastic Trajectory Optimization.

Hongzhe Yu, Zinuo Chang, Yongxin Chen

CoRR, May, 2026

Concentration of Stochastic System Trajectories with Time-varying Contraction Conditions.

Zishun Liu, Liqian Ma, Hongzhe Yu, Yongxin Chen

CoRR, April, 2026

Path Integral Particle Filtering for Hybrid Systems via Saltation Matrices.

Karthik Shaji, Sreeranj Jayadevan, Bo Yuan, Hongzhe Yu, Yongxin Chen

CoRR, March, 2026

Efficient iterative proximal variational inference motion planning.

Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen

Robotics Auton. Syst., 2026

2025

Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications.

Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen

CoRR, March, 2025

Path integral control of partially observed systems via fully observable control approximations.

Kenta Hoshino, Hongzhe Yu, Takashi Tanaka, Yongxin Chen

Syst. Control. Lett., 2025

Verification of Stochastic Systems Under Signal Temporal Logic Specifications.

Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen

IEEE Control. Syst. Lett., 2025

2024

Accelerating Gaussian Variational Inference for Motion Planning Under Uncertainty.

Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen

CoRR, 2024

Path Integral Control for Hybrid Dynamical Systems.

Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen

CoRR, 2024

Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions.

Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen

CoRR, 2024

2023

A Gaussian Variational Inference Approach to Motion Planning.

Hongzhe Yu, Yongxin Chen

IEEE Robotics Autom. Lett., May, 2023

Efficient Belief Road Map for Planning Under Uncertainty.

Zhenyang Chen, Hongzhe Yu, Yongxin Chen

CoRR, 2023

Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms.

Hongzhe Yu, Yongxin Chen

CoRR, 2023

Data-driven optimal control under safety constraints using sparse Koopman approximation.

Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

What should be the input: Investigating the environment representations in sim-to-real transfer for navigation tasks.

Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding

Robotics Auton. Syst., 2022

Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints.

Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen

IEEE Control. Syst. Lett., 2022

A Gaussian variational inference approach to motion planning.

Hongzhe Yu, Yongxin Chen

CoRR, 2022

2021

Convex Optimal Control Synthesis Under Safety Constraints.

Hongzhe Yu, Joseph Moyalan, Duvan Tellez-Castro, Umesh Vaidya, Yongxin Chen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis.

Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding

CoRR, 2019

2018

State Estimation for Swarm UAVs Under Data Dropout Condition.

Hongzhe Yu, Weifan Zhang, Xinjun Sheng, Wei Dong

Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018