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2020 – today
- 2026
[i10]Haixin Jin, Nikhil Uday Shinde, Soofiyan Atar, Hongzhan Yu, Dylan Hirsch, Sicun Gao, Michael C. Yip, Sylvia L. Herbert:
Learning to Nudge: A Scalable Barrier Function Framework for Safe Robot Interaction in Dense Clutter. CoRR abs/2601.02686 (2026)- 2025
- [c5]Seth Farrell, Chenghao Li, Hongzhan Yu, Ryo Yoshimitsu, Sicun Gao, Henrik I. Christensen
:
Safe Human Robot Navigation in Warehouse Scenario. CASE 2025: 548-555 - [c4]Hongzhan Yu, Seth Farrell, Ryo Yoshimitsu, Zhizhen Qin, Henrik I. Christensen, Sicun Gao:
Estimating Control Barriers from Offline Data. ICRA 2025: 14896-14902 - [i9]Luobin Wang, Hongzhan Yu, Chenning Yu, Sicun Gao, Henrik I. Christensen:
Controllable Motion Generation via Diffusion Modal Coupling. CoRR abs/2503.02353 (2025) - [i8]Hongzhan Yu, Seth Farrell, Ryo Yoshimitsu, Zhizhen Qin, Henrik I. Christensen, Sicun Gao:
Estimating Control Barriers from Offline Data. CoRR abs/2503.10641 (2025) - [i7]Seth Farrell, Chenghao Li, Hongzhan Yu, Ryo Yoshimitsu, Sicun Gao, Henrik I. Christensen:
Safe Human Robot Navigation in Warehouse Scenario. CoRR abs/2503.21141 (2025) - [i6]Katherine Mao, Hongzhan Yu, Ruipeng Zhang, Igor Spasojevic, M. Ani Hsieh, Sicun Gao, Vijay Kumar:
Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis. CoRR abs/2506.13915 (2025) - [i5]Seth Farrell, Chenghao Li, Hongzhan Yu, Hesam Mojtahedi, Sicun Gao, Henrik I. Christensen:
GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments. CoRR abs/2509.14210 (2025) - 2024
- [c3]Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. ICML 2024: 57441-57458 - [i4]Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. CoRR abs/2406.00494 (2024) - [i3]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:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - 2023
- [c2]Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao:
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance. IROS 2023: 11241-11248 - [i2]Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao:
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance. CoRR abs/2307.03015 (2023) - 2022
- [c1]Chenning Yu, Hongzhan Yu, Sicun Gao:
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. CoRL 2022: 934-945 - [i1]Chenning Yu, Hongzhan Yu, Sicun Gao:
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. CoRR abs/2210.09378 (2022)
Coauthor Index
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