Chenning Yu
I am a forth-year Ph.D. candidate at UCSD Computer Science & Engineering Department. I am very fortunate to have Sicun Gao as my advisor. We are currently working on safe and robust learning-based control for robotics and large models.
Helping you makes me happy! I am always open to discussion and collaboration. Let me know how I can help you through this Google Form .
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Efficient Motion Planning for Manipulators with Control Barrier Function-Inspired Neural Controller
Mingxin Yu ,
Chenning Yu ,
Mahdi Naddaf ,
Devesh Upadhyay ,
Sicun Gao , and
Chuchu Fan
ICRA , 2024
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Iterative Reachability Estimation for Safe Reinforcement Learning
Milan Ganai , Zheng Gong , Chenning Yu , Sylvia Herbert , and Sicun Gao
NeurIPS , 2023
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Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
Hongzhan Yu , Chiaki Hirayama , Chenning Yu , Sylvia Herbert , and Sicun Gao
IROS , 2023 / Best Robocup Paper Award
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Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Chenning Yu* , Qingbiao Li* , Sicun Gao , and Amanda Prorok
ICRA , 2023
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Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang , Chenning Yu , Jingkai Chen , Chuchu Fan , and Sicun Gao
NeurIPS , 2022
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Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Chenning Yu , Hongzhan Yu , and Sicun Gao
CoRL , 2022
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Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu and Sicun Gao
NeurIPS , 2021
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