Sotabase

Career

· Co-founder, Physical Intelligence2024–
· Research Scientist, Google DeepMind2018–2024
· MS, Aeronautics and Astronautics, Stanford University2015–
· PhD Candidate, Aeronautics and Astronautics, Stanford University2012–2018
· BA, Physics, University of Virginia2012–
· BS, Aerospace Engineering, University of Virginia2012–
· Google Brain Robotics

Publications (88)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning · 2022
2,665
cited
PaLM-E: An Embodied Multimodal Language Model
International Conference on Machine Learning · 2023
2,284
cited
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Conference on Robot Learning · 2023
2,268
cited
RT-1: Robotics Transformer for Real-World Control at Scale
Robotics: Science and Systems · 2022
1,789
cited
Code as Policies: Language Model Programs for Embodied Control
IEEE International Conference on Robotics and Automation · 2022
1,315
cited
Inner Monologue: Embodied Reasoning through Planning with Language Models
Conference on Robot Learning · 2022
1,184
cited
π0: A Vision-Language-Action Flow Model for General Robot Control
arXiv.org · 2024
1,025
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
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Conference on Robot Learning · 2022
622
cited
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Computer Vision and Pattern Recognition · 2024
567
cited
π0.5: a Vision-Language-Action Model with Open-World Generalization
arXiv.org · 2025
431
cited
Learning Sampling Distributions for Robot Motion Planning
IEEE International Conference on Robotics and Automation · 2017
389
cited
Language to Rewards for Robotic Skill Synthesis
Conference on Robot Learning · 2023
361
cited
Foundation models in robotics: Applications, challenges, and the future
Int. J. Robotics Res. · 2023
294
cited
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Robotics · 2025
285
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
Open-vocabulary Queryable Scene Representations for Real World Planning
IEEE International Conference on Robotics and Automation · 2022
238
cited
Physically Grounded Vision-Language Models for Robotic Manipulation
IEEE International Conference on Robotics and Automation · 2023
211
cited
Scaling Robot Learning with Semantically Imagined Experience
Robotics: Science and Systems · 2023
206
cited
Sotabase
Brian Ichter | Researcher Profile | Sotabase | Sotabase