Sotabase

Career

· Assistant Professor, Georgia Institute of Technology2026–
· Research Intern, Hugging Face2023–
· Editor for the Stanford Artificial Intelligence Blog, Stanford University2020–2022
· Undergraduate Degrees in Computer Science and Literary Arts, Brown University2019–
· PhD in Computer Science, Stanford University2019–2025
· Research Intern, Toyota Research Institute
· Research Scientist, Toyota Research Institute

Publications (37)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Neural Information Processing Systems · 2023
322
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
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
International Conference on Machine Learning · 2024
251
cited
Learning to Speak and Act in a Fantasy Text Adventure Game
Conference on Empirical Methods in Natural Language Processing · 2019
220
cited
Language-Driven Representation Learning for Robotics
Robotics: Science and Systems · 2023
192
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
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
Annual Meeting of the Association for Computational Linguistics · 2021
96
cited
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
arXiv.org · 2025
62
cited
ELLA: Exploration through Learned Language Abstraction
Neural Information Processing Systems · 2021
62
cited
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
Robotics: Science and Systems · 2017
61
cited
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
AISec@CCS · 2018
41
cited
Finding Generalizable Evidence by Learning to Convince Q&A Models
Conference on Empirical Methods in Natural Language Processing · 2019
40
cited
LILA: Language-Informed Latent Actions
Conference on Robot Learning · 2021
35
cited
Learning Adaptive Language Interfaces through Decomposition
INTEXSEMPAR · 2020
32
cited
Generating Interactive Worlds with Text
AAAI Conference on Artificial Intelligence · 2019
30
cited
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
Conference on Robot Learning · 2022
28
cited
Grounding natural language instructions to semantic goal representations for abstraction and generalization
Autonomous Robots · 2018
27
cited
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Sidd Karamcheti | Researcher Profile | Sotabase | Sotabase