Hongzhe Yu

19 papers A* 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient iterative proximal variational inference motion planning.
Robotics Auton. Syst.
Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen
2026 J jnl
Path Integral Particle Filtering for Hybrid Systems via Saltation Matrices.
CoRR
Karthik Shaji, Sreeranj Jayadevan, Bo Yuan, Hongzhe Yu, Yongxin Chen
2025 J jnl
Path integral control of partially observed systems via fully observable control approximations.
Syst. Control. Lett.
Kenta Hoshino, Hongzhe Yu, Takashi Tanaka, Yongxin Chen
2025 J jnl
Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications.
CoRR
Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen
2025 J jnl
Verification of Stochastic Systems Under Signal Temporal Logic Specifications.
IEEE Control. Syst. Lett.
Liqian Ma, Zishun Liu, Hongzhe Yu, Yongxin Chen
2024 J jnl
Accelerating Gaussian Variational Inference for Motion Planning Under Uncertainty.
CoRR
Zinuo Chang, Hongzhe Yu, Patricio A. Vela, Yongxin Chen
2024 J jnl
Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions.
CoRR
Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen
2024 J jnl
Path Integral Control for Hybrid Dynamical Systems.
CoRR
Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen
2023 J jnl
A Gaussian Variational Inference Approach to Motion Planning.
IEEE Robotics Autom. Lett.
Hongzhe Yu, Yongxin Chen
2023 A* conf
Data-driven optimal control under safety constraints using sparse Koopman approximation.
ICRA
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
2023 J jnl
Data-driven optimal control under safety constraints using sparse Koopman approximation.
CoRR
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
2023 J jnl
Efficient Belief Road Map for Planning Under Uncertainty.
CoRR
Zhenyang Chen, Hongzhe Yu, Yongxin Chen
2023 J jnl
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms.
CoRR
Hongzhe Yu, Yongxin Chen
2022 J jnl
A Gaussian variational inference approach to motion planning.
CoRR
Hongzhe Yu, Yongxin Chen
2022 J jnl
Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints.
IEEE Control. Syst. Lett.
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
2022 J jnl
What should be the input: Investigating the environment representations in sim-to-real transfer for navigation tasks.
Robotics Auton. Syst.
Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding
2021 — conf
Convex Optimal Control Synthesis Under Safety Constraints.
CDC
Hongzhe Yu, Joseph Moyalan, Duvan Tellez-Castro, Umesh Vaidya, Yongxin Chen
2019 J jnl
Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis.
CoRR
Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding
2018 — conf
State Estimation for Swarm UAVs Under Data Dropout Condition.
ICIRA (1)
Hongzhe Yu, Weifan Zhang, Xinjun Sheng, Wei Dong