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ORCIDLaura Smith 0001
Person information
- affiliation: Google DeepMind
- affiliation (PhD 2025): University of California, Berkeley (UC Berkeley), Berkeley Artificial Intelligence Research, CA, USA
Other persons with the same name
- Laura Smith — disambiguation page
- Laura Smith 0002 — University of Sunderland, Newcastle upon Tyne, UK
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2020 – today
- 2025
[c14]Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. ICLR 2025- [c13]Soroush Nasiriany, Sean Kirmani, Tianli Ding, Laura Smith, Yuke Zhu, Danny Driess, Dorsa Sadigh, Ted Xiao:
RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. ICRA 2025: 8249-8257 - [c12]Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn:
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. ICRA 2025: 12826-12833 - [c11]Laura Smith, Alex Irpan, Montserrat Gonzalez Arenas, Sean Kirmani, Dmitry Kalashnikov, Dhruv Shah, Ted Xiao:
STEER: Flexible Robotic Manipulation via Dense Language Grounding. ICRA 2025: 16517-16524 - [i18]Physical Intelligence, Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky:
π0.5: a Vision-Language-Action Model with Open-World Generalization. CoRR abs/2504.16054 (2025) - 2024
- [j1]Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. RLJ 5: 2178-2197 (2024) - [c10]Laura Smith, Yunhao Cao, Sergey Levine:
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. ICRA 2024: 10829-10836 - [c9]Xiaoyu Huang, Qiayuan Liao, Yiming Ni
, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath:
HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. IROS 2024: 9050-9057 - [i17]Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. CoRR abs/2406.06615 (2024) - [i16]Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn:
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. CoRR abs/2407.02666 (2024) - [i15]Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath:
HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. CoRR abs/2407.06584 (2024) - [i14]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024) - [i13]Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-hui Liu:
Traversability-Aware Legged Navigation by Learning from Real-World Visual Data. CoRR abs/2410.10621 (2024) - [i12]Soroush Nasiriany, Sean Kirmani, Tianli Ding, Laura Smith, Yuke Zhu, Danny Driess, Dorsa Sadigh, Ted Xiao:
RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. CoRR abs/2411.02704 (2024) - [i11]Laura Smith, Alex Irpan, Montserrat Gonzalez Arenas, Sean Kirmani, Dmitry Kalashnikov, Dhruv Shah, Ted Xiao:
STEER: Flexible Robotic Manipulation via Dense Language Grounding. CoRR abs/2411.03409 (2024) - 2023
- [c8]Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL 2023: 2975-2994 - [c7]Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. ICML 2023: 1577-1594 - [c6]Ilya Kostrikov, Laura Smith, Sergey Levine:
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems 2023 - [c5]Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems 2023 - [i10]Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. CoRR abs/2302.02948 (2023) - [i9]Kevin Zakka, Laura Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR abs/2304.04150 (2023) - [i8]Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR abs/2304.09834 (2023) - [i7]Laura Smith, Yunhao Cao, Sergey Levine:
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. CoRR abs/2310.17634 (2023) - [i6]Annie S. Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn:
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. CoRR abs/2311.01059 (2023) - 2022
- [c4]Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML 2022: 17811-17829 - [c3]Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA 2022: 1593-1599 - [i5]Laura Smith, Ilya Kostrikov, Sergey Levine:
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR abs/2208.07860 (2022) - 2021
- [i4]Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR abs/2107.03974 (2021) - [i3]Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. CoRR abs/2110.05457 (2021) - 2020
- [c2]Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine:
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. Robotics: Science and Systems 2020
2010 – 2019
- 2019
- [c1]Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine:
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. ICML 2019: 7444-7453 - [i2]Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine:
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. CoRR abs/1912.04443 (2019) - 2018
- [i1]Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine:
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning. CoRR abs/1808.09105 (2018)
Coauthor Index
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