2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
Proceedings of the Robotics: Science and Systems XX, 2024

Efficient Data Collection for Robotic Manipulation via Compositional Generalization.
Proceedings of the Robotics: Science and Systems XX, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Physically Grounded Vision-Language Models for Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning.
IROS, 2023

Distance Weighted Supervised Learning for Offline Interaction Data.
Proceedings of the International Conference on Machine Learning, 2023

2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020