Sotabase

Career

· Researcher, Google Research2021–
· PhD in Computer Science, University of California, Berkeley2015–2020
· Intern, DeepMind
· Research Scientist, Generalist AI
· Intern, Google
· Senior Research Scientist, Google DeepMind Robotics
· B.S. in Computer Science, Harvey Mudd College
· Intern, MILA
· PhD Student, UC Berkeley

Publications (52)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
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
Learning modular neural network policies for multi-task and multi-robot transfer
IEEE International Conference on Robotics and Automation · 2016
429
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
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
International Conference on Learning Representations · 2017
281
cited
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
Learning to Reach Goals via Iterated Supervised Learning
International Conference on Learning Representations · 2019
208
cited
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Workshop on the Algorithmic Foundations of Robotics · 2015
144
cited
Deep Object-Centric Representations for Generalizable Robot Learning
IEEE International Conference on Robotics and Automation · 2017
119
cited
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Conference on Robot Learning · 2018
117
cited
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Conference on Robot Learning · 2021
114
cited
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
arXiv.org · 2023
110
cited
Deep Object-Centric Policies for Autonomous Driving
IEEE International Conference on Robotics and Automation · 2018
106
cited
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments
arXiv.org · 2015
103
cited
Monocular Plan View Networks for Autonomous Driving
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
86
cited
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
2023
80
cited
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
Conference on Robot Learning · 2021
67
cited
Embedding Word Similarity with Neural Machine Translation
International Conference on Learning Representations · 2014
64
cited
Not All Neural Embeddings are Born Equal
arXiv.org · 2014
52
cited
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
International Conference on Learning Representations · 2021
42
cited
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Coline Devin | Researcher Profile | Sotabase | Sotabase