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Yevgen Chebotar
Yevgen Chebotar
Figure AI
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Cited by
Cited by
Year
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
1021*2023
Time-Contrastive Networks: Self-Supervised Learning from Video
P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine
932*2017
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
7342023
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
5232019
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
4852022
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
3862022
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
279*2023
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
2432015
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
230*2021
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
2032017
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
1902017
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
1772017
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
1752017
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Y Chebotar, A Waters
Interspeech 2016, 3439-3443, 2016
1672016
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
1302021
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
1022021
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
952012
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
912016
Learning robot tactile sensing for object manipulation
Y Chebotar, O Kroemer, J Peters
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
812014
2019 International conference on robotics and automation (ICRA)
Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox
IEEE, 2019
682019
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