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Career

· Graduate Research Assistant, Stanford Artificial Intelligence Laboratory (SAIL)2024–
· Intern, U.S. Navy Marine Mammal Program2024–2024
· Senior Producer, Stanford Storytelling Project2022–2024
· Undergraduate Student Researcher, IRIS Lab @ Stanford AI Lab2021–2024
· Bachelor's degree, Computer Science, 4.103/4.0, Stanford University2020–2024
· Section Leader (CS106 Series), Stanford University2020–2022

Publications (17)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
BridgeData V2: A Dataset for Robot Learning at Scale
Conference on Robot Learning · 2023
489
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
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets
Robotics: Science and Systems · 2023
54
cited
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Robotics: Science and Systems · 2022
43
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling
arXiv.org · 2024
21
cited
Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions
International Conference Renewable Energy and Power Engineering · 2019
15
cited
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
International Conference on Learning Representations · 2024
6
cited
To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment
arXiv.org · 2024
5
cited
Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
arXiv.org · 2019
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Maximilian Du | Researcher Profile | Sotabase | Sotabase