Sotabase

Career

· Research Scientist, Google DeepMind2025–
· Optimus AI, Tesla2024–2025
· Tesla Optimus, Tesla2024–
· Research Internship, The AI Institute2023–2023
· Doctor of Philosophy - PhD, Robotics, Carnegie Mellon University2020–2024
· PHD Student, Carnegie Mellon University Robotics Institute2020–2024
· Undergraduate Research Assistant, Berkeley Artificial Intelligence Research2017–2020
· Bachelor’s Degree, Electrical Engineering and Computer Science, University of California, Berkeley2016–2020

Publications (24)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Meta-Reinforcement Learning of Structured Exploration Strategies
Neural Information Processing Systems · 2018
371
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
Affordances from Human Videos as a Versatile Representation for Robotics
Computer Vision and Pattern Recognition · 2023
261
cited
Discovering and Achieving Goals via World Models
Neural Information Processing Systems · 2021
160
cited
Structured World Models from Human Videos
Robotics: Science and Systems · 2023
141
cited
Video Diffusion Alignment via Reward Gradients
arXiv.org · 2024
68
cited
Adaptive Mobile Manipulation for Articulated Objects In the Open World
arXiv.org · 2024
65
cited
Guided Meta-Policy Search
Neural Information Processing Systems · 2019
60
cited
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
arXiv.org · 2020
40
cited
Bimanual Dexterity for Complex Tasks
Conference on Robot Learning · 2024
38
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
ALAN: Autonomously Exploring Robotic Agents in the Real World
IEEE International Conference on Robotics and Automation · 2023
27
cited
Continuously Improving Mobile Manipulation with Autonomous Real-World RL
Conference on Robot Learning · 2024
19
cited
Neural MP: A Generalist Neural Motion Planner
arXiv.org · 2024
19
cited
Efficient RL via Disentangled Environment and Agent Representations
International Conference on Machine Learning · 2023
14
cited
Towards Embodiment Scaling Laws in Robot Locomotion
arXiv.org · 2025
9
cited
Learning to Reinforcement Learn by Imitation
2018
1
cited
281 TALE-guided retroviral integration as a strategy for site-specific CFTR exon delivery
Journal of Cystic Fibrosis · 2025
Consistent Meta-Reinforcement Learning via Model Identification and Experience Relabeling
2019
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Russell Mendonca | Researcher Profile | Sotabase | Sotabase