Sotabase

Career

· Associate Professor of Computer Science and of Electrical Engineering, Stanford University2017–
· Doctoral Degree in Electrical Engineering and Computer Sciences, University of California, Berkeley2012–2017
· Bachelor's Degree in Electrical Engineering and Computer Sciences, University of California, Berkeley2008–2012
· Assoc. Professor, Stanford Univ.

Publications (423)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
Octo: An Open-Source Generalist Robot Policy
Robotics: Science and Systems · 2024
928
cited
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 Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Trans. Mach. Learn. Res. · 2023
738
cited
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Computer Vision and Pattern Recognition · 2024
567
cited
Planning for Autonomous Cars that Leverage Effects on Human Actions
Robotics: Science and Systems · 2016
533
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Active Preference-Based Learning of Reward Functions
Robotics: Science and Systems · 2017
435
cited
Language to Rewards for Robotic Skill Synthesis
Conference on Robot Learning · 2023
361
cited
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Conference on Robot Learning · 2023
314
cited
Reactive synthesis from signal temporal logic specifications
International Conference on Hybrid Systems: Computation and Control · 2015
286
cited
Reward Design with Language Models
International Conference on Learning Representations · 2023
284
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
Large Language Models as General Pattern Machines
Conference on Robot Learning · 2023
262
cited
Hierarchical Game-Theoretic Planning for Autonomous Vehicles
IEEE International Conference on Robotics and Automation · 2018
254
cited
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
International Conference on Machine Learning · 2024
251
cited
Multi-Agent Generative Adversarial Imitation Learning
Neural Information Processing Systems · 2018
250
cited
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
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