Laura Smith
Hello! I'm a Research Scientist at Physical Intelligence,
working on bringing generalist robots to the real world. I recently received my PhD from UC Berkeley,
where I was fortunate to be able to work on real-world RL for robots in the wild with Sergey Levine.
CV
Github
G. Scholar
Twitter
laura.smith at physicalintelligence dot company
The following are most representative of my personal work.
For a complete list of publications, please see my Google Scholar profile.
STEER: Flexible Robotic Manipulation via Dense Language Grounding
Laura Smith, Alex Irpan, Montserrat Gonzalez Arenas, Sean Kirmani, Dmitry Kalashnikov, Dhruv Shah, Ted Xiao
ICRA 2025
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Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Laura Smith*, Yunhao Cao*, Sergey Levine
ICRA 2024
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Learning and Adapting Agile Locomotion Skills by Transferring Experience
Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
RSS 2023
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PDF
RLPD: Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball*, Laura Smith*, Ilya Kostrikov*, Sergey Levine
ICML 2023.
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Code
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning
Laura Smith*, Ilya Kostrikov*, Sergey Levine
RSS Demo Track, 2023.
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Code
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World
Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
ICRA 2022.
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Code
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-Training
Kimin Lee*, Laura Smith*, Pieter Abbeel
ICML 2021, Long Oral Presentation.
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Code
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
RSS 2020.
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BAIR Blog
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning
Marvin Zhang*, Sharad Vikram*, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine
ICML 2019.
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BAIR Blog
2022
Co-Organizer, CoRL Workshop on Learning to Adapt and Improve in the Real World2022+
Reviewer, CoRL, RA-L, ICRA, NeurIPS, IROS, ICLR.2020+
Co-Organizer, Berkeley AI Research Mentoring Program2018-2020
Co-Organizer, Robot Learning Lab Outreach2018
Guest Lecture at UC Berkeley CS10: The Beauty and Joy of Computing (video)