| Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on robot learning, 287-318, 2023 | 1769* | 2023 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 1435 | 2023 |
| Time-Contrastive Networks: Self-Supervised Learning from Video P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine | 1051 | 2017 |
| Inner monologue: Embodied reasoning through planning with language models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... arXiv preprint arXiv:2207.05608, 2022 | 814 | 2022 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 809* | 2023 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 799 | 2022 |
| Closing the sim-to-real loop: Adapting simulation randomization with real world experience Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox 2019 International Conference on Robotics and Automation (ICRA), 8973-8979, 2019 | 613 | 2019 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 374* | 2023 |
| Mt-opt: Continuous multi-task robotic reinforcement learning at scale D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ... arXiv preprint arXiv:2104.08212, 2021 | 300* | 2021 |
| Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor Z Su, K Hausman, Y Chebotar, A Molchanov, GE Loeb, GS Sukhatme, ... 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 264 | 2015 |
| Combining model-based and model-free updates for trajectory-centric reinforcement learning Y Chebotar, K Hausman, M Zhang, G Sukhatme, S Schaal, S Levine International conference on machine learning, 703-711, 2017 | 219 | 2017 |
| Path integral guided policy search Y Chebotar, M Kalakrishnan, A Yahya, A Li, S Schaal, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 3381-3388, 2017 | 200 | 2017 |
| Collective robot reinforcement learning with distributed asynchronous guided policy search A Yahya, A Li, M Kalakrishnan, Y Chebotar, S Levine 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 189 | 2017 |
| Multi-modal imitation learning from unstructured demonstrations using generative adversarial nets K Hausman, Y Chebotar, S Schaal, G Sukhatme, JJ Lim Advances in neural information processing systems 30, 2017 | 188 | 2017 |
| Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition Y Chebotar, A Waters Interspeech 2016, 3439-3443, 2016 | 186 | 2016 |
| Actionable models: Unsupervised offline reinforcement learning of robotic skills Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ... arXiv preprint arXiv:2104.07749, 2021 | 155 | 2021 |
| Meta learning via learned loss S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ... 2020 25th International Conference on Pattern Recognition (ICPR), 4161-4168, 2021 | 127 | 2021 |
| Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning Y Chebotar, K Hausman, Z Su, GS Sukhatme, S Schaal 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 100 | 2016 |
| Behind the article: Recognizing dialog acts in Wikipedia talk pages O Ferschke, I Gurevych, Y Chebotar Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 100 | 2012 |
| Learning robot tactile sensing for object manipulation Y Chebotar, O Kroemer, J Peters 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 86 | 2014 |
Sergey LevineUC Berkeley, Physical IntelligenceEmail verificata su eecs.berkeley.edu
