Publications
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh
Proceedings of the 8th Conference on Robot Learning (CoRL), November 2024
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language
Corrections
Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia,
Dorsa Sadigh
International Conference on Robotics and Automation (ICRA), May 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
International Conference on Robotics and Automation (ICRA), May 2024
Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
Conference on Neural Information Processing Systems (NeurIPS), December 2023
HYDRA: Hybrid Robot Actions for Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
Proceedings of the 7th Conference on Robot Learning (CoRL), November 2023
Gesture-Informed Robot Assistance via Foundation Model
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
Proceedings of the 7th Conference on Robot Learning (CoRL), November 2023
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal
Demonstrations
Yilun Hao*, Ruinan Wang*, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
October 2023
"No, to the Right" – Online Language Corrections for Robotic Manipulation via Shared Autonomy
Yuchen Cui*, Siddharth Karamcheti*, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March
2023
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Arvind Rajeswaran
Learning for Dynamics & Control Conference (L4DC), June 2022
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine
Learning
Yuchen Cui, Pallavi Koppol, Henny Admoni, Scott Niekum, Reid Simmons, Aaron Steinfeld, Tesca
Fitzgerald
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI),
August 2021
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, and W. Bradley Knox
Proceedings of the 4th Conference on Robot Learning (CoRL), November 2020
Uncertainty-Aware Data Aggregation for Deep Imitation Learning
Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura
International Conference on Robotics and Automation (ICRA), May 2019