Karol Hausman

Most-cited papers

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar +42 more
2023Conference on Robot Learning4,894 citations Open access
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn +41 more
2022Conference on Robot Learning4,035 citations
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PaLM-E: An Embodied Multimodal Language Model
Danny Driess, F. Xia, Mehdi S. M. Sajjadi, Corey Lynch +18 more
2023International Conference on Machine Learning3,382 citations Open access
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π0: A Vision-Language-Action Flow Model for General Robot Control
Kevin Black, Noah Brown, Danny Driess, A. Esmail +20 more
2024arXiv.org3,317 citations
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RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar +47 more
2022Robotics: Science and Systems Conference3,108 citations Open access
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π0.5: a Vision-Language-Action Model with Open-World Generalization
Physical Intelligence, Kevin Black, Noah Brown, James Darpinian +32 more
2025arXiv.org2,501 citations
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Gradient Surgery for Multi-Task Learning
Tian-He Yu, Saurabh Kumar, Abhishek Gupta, S. Levine +2 more
2020Neural Information Processing Systems2,358 citations
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Code as Policies: Language Model Programs for Embodied Control
Jacky Liang, Wen-Long Huang, F. Xia, Peng Xu +4 more
2022IEEE International Conference on Robotics and Automation2,157 citations Open access
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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tian-He Yu, Deirdre Quillen, Zhan-Peng He, Ryan C. Julian +6 more
2019Conference on Robot Learning1,886 citations
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Inner Monologue: Embodied Reasoning through Planning with Language Models
Wen-Long Huang, F. Xia, Ted Xiao, Harris Chan +13 more
2022Conference on Robot Learning1,760 citations Open access
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A. Padalkar, A. Pooley, Ajinkya Jain, Alex Bewley +170 more
2023IEEE International Conference on Robotics and Automation1,262 citations
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Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch, S. Levine +1 more
2019Conference on Robot Learning593 citations
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Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma, Shi-Xiang Gu, S. Levine, Vikash Kumar +1 more
2019International Conference on Learning Representations523 citations
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Foundation models in robotics: Applications, challenges, and the future
Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar +11 more
2023Int. J. Robotics Res.460 citations Open access
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π*0.6: a VLA That Learns From Experience
Physical Intelligence, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna +52 more
2025arXiv.org395 citations
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Interactive Perception: Leveraging Action in Perception and Perception in Action
Jeannette Bohg, Karol Hausman, Bharathwaj Sankaran, Oliver Brock +3 more
2016IEEE Transactions on robotics371 citations Open access
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Learning an Embedding Space for Transferable Robot Skills
Karol Hausman, J. Springenberg, Zi-Yun Wang, N. Heess +1 more
2018International Conference on Learning Representations354 citations
Semantic Scholar
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson +4 more
2021arXiv.org340 citations
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
Abigail O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta +276 more
2024IEEE International Conference on Robotics and Automation283 citations
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PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wen-Hao Yu, Ted Xiao +19 more
2024International Conference on Machine Learning274 citations
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Scaling Robot Learning with Semantically Imagined Experience
Tian-He Yu, Ted Xiao, Austin Stone, Jonathan Tompson +9 more
2023Robotics: Science and Systems Conference262 citations Open access
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Open-World Object Manipulation using Pre-trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu, K. Gopalakrishnan +8 more
2023Conference on Robot Learning253 citations Open access
Semantic Scholar
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov +3 more
2015IEEE-RAS International Conference on Humanoid Robots217 citations
Semantic Scholar
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen +6 more
2023International Conference on Machine Learning194 citations
Semantic Scholar
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu +13 more
2023International Conference on Learning Representations190 citations
Semantic Scholar
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar, Q. Vuong, Karol Hausman, F. Xia +21 more
2023Conference on Robot Learning189 citations Open access
Semantic Scholar
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Bang-Hua Zhu +8 more
2022International Conference on Machine Learning187 citations Open access
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π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Physical Intelligence, Bo Ai, Ali Amin, Raichelle Aniceto +84 more
2026arXiv.org185 citations
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RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
P. Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia +17 more
2023IEEE International Conference on Robotics and Automation182 citations Open access
Semantic Scholar
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao +7 more
2021International Conference on Machine Learning181 citations
Semantic Scholar
π₀: A Vision-Language-Action Flow Model for General Robot Control
Kevin Black, Noah Brown, Danny Driess, A. Esmail +21 more
2025Robotics172 citations Open access
Semantic Scholar
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, Marvin Zhang, G. Sukhatme +2 more
2017International Conference on Machine Learning169 citations
Semantic Scholar
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman, Yevgen Chebotar, S. Schaal, G. Sukhatme +1 more
2017Neural Information Processing Systems165 citations
Semantic Scholar
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas +23 more
2024arXiv.org146 citations
Semantic Scholar
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control
Wen-Long Huang, F. Xia, Dhruv Shah, Danny Driess +7 more
2023arXiv.org122 citations Open access
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Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Wen-Long Huang, Fei Xia, Dhruv Shah, Danny Driess +7 more
2023Neural Information Processing Systems106 citations Open access
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Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan C. Julian, Benjamin Swanson, G. Sukhatme, S. Levine +2 more
2020Conference on Robot Learning97 citations
Semantic Scholar
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Ted Xiao, Harris Chan, P. Sermanet, Ayzaan Wahid +4 more
2022Robotics: Science and Systems Conference95 citations Open access
Semantic Scholar
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tian-He Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman +2 more
2021Neural Information Processing Systems94 citations
Semantic Scholar
Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning
Yevgen Chebotar, Karol Hausman, Zhe Su, G. Sukhatme +1 more
2016IEEE/RJS International Conference on Intelligent RObots and Systems85 citations
Semantic Scholar
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tian-He Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman +2 more
2022International Conference on Machine Learning83 citations
Semantic Scholar
Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs
Karol Hausman, James A. Preiss, G. Sukhatme, S. Weiss
2016IEEE Robotics and Automation Letters73 citations Open access
Semantic Scholar
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan +7 more
2021Conference on Robot Learning64 citations
Semantic Scholar
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
Cristian Bodnar, Adrian Li, Karol Hausman, P. Pastor +1 more
2019Robotics: Science and Systems Conference62 citations Open access
Semantic Scholar
Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV
Karol Hausman, S. Weiss, R. Brockers, L. Matthies +1 more
2016IEEE International Conference on Robotics and Automation62 citations
Semantic Scholar
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan, Q. Vuong, Jiayuan Gu, Peng Xu +9 more
2024Conference on Robot Learning59 citations
Semantic Scholar
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Archit Sharma, Michael Ahn, S. Levine, Vikash Kumar +2 more
2020Robotics: Science and Systems Conference59 citations Open access
Semantic Scholar
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tian-He Yu +2 more
2023Conference on Robot Learning57 citations
Semantic Scholar
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Ted Xiao, Eric Jang, Dmitry Kalashnikov, S. Levine +3 more
2020International Conference on Learning Representations54 citations
Semantic Scholar
Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation
Ryan C. Julian, Benjamin Swanson, G. Sukhatme, S. Levine +2 more
2020Robotics: Science and Systems Conference47 citations
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