Sotabase

Career

· Assistant Professor, University of California, Los Angeles2024–
· Postdoctoral Researcher, Stanford University2022–2024
· Intern, Facebook AI Research2021–2021
· Intern, Diligent Robotics2019–2019
· Intern, Honda Research Institute USA2018–2018
· Doctor of Philosophy, The University of Texas at Austin2015–2021
· Bachelor of Science, Purdue University2011–2015
· Assistant Professor, UCLA

Publications (46)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy
IEEE/ACM International Conference on Human-Robot Interaction · 2023
106
cited
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Conference on Learning for Dynamics & Control · 2022
91
cited
Indoor Follow Me Drone
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2017
90
cited
Data Quality in Imitation Learning
Neural Information Processing Systems · 2023
81
cited
Active Reward Learning from Critiques
IEEE International Conference on Robotics and Automation · 2018
78
cited
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Conference on Robot Learning · 2020
76
cited
HYDRA: Hybrid Robot Actions for Imitation Learning
Conference on Robot Learning · 2023
69
cited
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections
IEEE International Conference on Robotics and Automation · 2023
65
cited
Risk-Aware Active Inverse Reinforcement Learning
Conference on Robot Learning · 2018
61
cited
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning
International Joint Conference on Artificial Intelligence · 2021
37
cited
Uncertainty-Aware Data Aggregation for Deep Imitation Learning
IEEE International Conference on Robotics and Automation · 2019
32
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
Conference on Robot Learning · 2024
29
cited
Gesture-Informed Robot Assistance via Foundation Models
Conference on Robot Learning · 2023
28
cited
Temperature Drift Compensation for Four-Mass Vibration MEMS Gyroscope Based on EMD and Hybrid Filtering Fusion Method
Micromachines · 2023
16
cited
Modeling sensory-motor decisions in natural behavior
bioRxiv · 2018
14
cited
How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
IEEE International Conference on Robotics and Automation · 2025
11
cited
High-G MEMS Accelerometer Calibration Denoising Method Based on EMD and Time-Frequency Peak Filtering
Micromachines · 2023
9
cited
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Yuchen Cui | Researcher Profile | Sotabase | Sotabase