Laura Smith

According to our database, Laura Smith authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

π_0.5: a Vision-Language-Action Model with Open-World Generalization.

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

CoRR, April, 2025

STEER: Flexible Robotic Manipulation via Dense Language Grounding.

Laura Smith, Alex Irpan, Montserrat Gonzalez Arenas, Sean Kirmani, Dmitry Kalashnikov, Dhruv Shah, Ted Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation.

Soroush Nasiriany, Sean Kirmani, Tianli Ding, Laura Smith, Yuke Zhu, Danny Driess, Dorsa Sadigh, Ted Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models.

Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Language Guided Skill Discovery.

Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data.

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

CoRR, 2024

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.

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

RLJ, 2024

HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation.

Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion.

Laura Smith, Yunhao Cao, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment.

Annie S. Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn

CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.

Kevin Zakka, Laura Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

CoRR, 2023

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.

Ilya Kostrikov, Laura Smith, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Efficient Online Reinforcement Learning with Offline Data.

Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.

Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2023

2022

A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.

Laura Smith, Ilya Kostrikov, Sergey Levine

CoRR, 2022

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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Offline Meta-Reinforcement Learning with Online Self-Supervision.

Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

2020

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.

Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

CoRR, 2018