Hongzhan Yu

According to our database, Hongzhan Yu authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments.

Seth Farrell, Chenghao Li, Hongzhan Yu, Hesam Mojtahedi, Sicun Gao, Henrik I. Christensen

CoRR, September, 2025

Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis.

Katherine Mao, Hongzhan Yu, Ruipeng Zhang, Igor Spasojevic, M. Ani Hsieh, Sicun Gao, Vijay Kumar

CoRR, June, 2025

Controllable Motion Generation via Diffusion Modal Coupling.

Luobin Wang, Hongzhan Yu, Chenning Yu, Sicun Gao, Henrik I. Christensen

CoRR, March, 2025

Estimating Control Barriers from Offline Data.

Hongzhan Yu, Seth Farrell, Ryo Yoshimitsu, Zhizhen Qin, Henrik I. Christensen, Sicun Gao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Safe Human Robot Navigation in Warehouse Scenario.

Seth Farrell, Chenghao Li, Hongzhan Yu, Ryo Yoshimitsu, Sicun Gao, Henrik I. Christensen

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar

CoRR, 2024

Activation-Descent Regularization for Input Optimization of ReLU Networks.

Hongzhan Yu, Sicun Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance.

Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao

IROS, 2023

2022

Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation.

Chenning Yu, Hongzhan Yu, Sicun Gao

Proceedings of the Conference on Robot Learning, 2022