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ORCIDHongzhe Yu
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2020 – today
- 2023
[j3]Hongzhe Yu
, Yongxin Chen:
A Gaussian Variational Inference Approach to Motion Planning. IEEE Robotics Autom. Lett. 8(5): 2518-2525 (2023)- [c3]Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen:
Data-driven optimal control under safety constraints using sparse Koopman approximation. ICRA 2023: 10574-10579 - [i5]Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen:
Data-driven optimal control under safety constraints using sparse Koopman approximation. CoRR abs/2306.00596 (2023) - [i4]Hongzhe Yu, Yongxin Chen:
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms. CoRR abs/2308.14985 (2023) - [i3]Zhenyang Chen, Hongzhe Yu, Yongxin Chen:
Efficient Belief Road Map for Planning Under Uncertainty. CoRR abs/2309.09344 (2023) - 2022
- [j2]Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen:
Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints. IEEE Control. Syst. Lett. 6: 2240-2245 (2022) - [j1]Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding:
What should be the input: Investigating the environment representations in sim-to-real transfer for navigation tasks. Robotics Auton. Syst. 153: 104081 (2022) - [i2]Hongzhe Yu, Yongxin Chen:
A Gaussian variational inference approach to motion planning. CoRR abs/2209.05655 (2022) - 2021
- [c2]Hongzhe Yu, Joseph Moyalan, Duvan Tellez-Castro, Umesh Vaidya, Yongxin Chen:
Convex Optimal Control Synthesis Under Safety Constraints. CDC 2021: 4615-4621
2010 – 2019
- 2019
- [i1]Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding:
Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis. CoRR abs/1910.05758 (2019) - 2018
- [c1]Hongzhe Yu, Weifan Zhang, Xinjun Sheng, Wei Dong:
State Estimation for Swarm UAVs Under Data Dropout Condition. ICIRA (1) 2018: 81-91
Coauthor Index
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