Stanford University
Chelsea FinnCo-founder · Physical IntelligenceResearcher↗
Researcher · Academic · Founder
Sergey Levine
Physical IntelligenceCo-founder
UC BerkeleyAssociate Professor
Levine helped teach robots to grasp unfamiliar objects by learning from hundreds of thousands of attempts.[1] He co-developed Soft Actor-Critic, a method for learning actions through trial and error,[2] and π0, a general-purpose robot model that follows instructions to perform tasks such as folding laundry.[3]
Career & education
Current rolesPhysical Intelligence2024-presentCo-founderUC Berkeley2021-presentAssociate Professor
Physical Intelligence2024-presentUC Berkeley2021-presentPreviouslyUC Berkeley2016-2021Assistant Professor
UC Berkeley2016-2021Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations296,999As of Nov 1, '26
citations+13,685Since last snapshot, Oct 1, '26
Selected contributions
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
With Chelsea Finn and Pieter AbbeelMAML trains models to adapt to new tasks with only a few examples.
References
- Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collectionarxiv.org
Levine first-authored work learning grasping from over 800,000 attempts, including successful grasps of novel objects.
- Soft Actor-Criticarxiv.org
Levine co-authored the Soft Actor-Critic reinforcement-learning algorithm for continuous control.
- π0: A Vision-Language-Action Flow Model for General Robot Controlarxiv.org
Levine co-authored generalist robot model following language instructions, including laundry folding.
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Reviewed July 23, 2026 · Checked for accuracy and new information.
