Suraj Nair
Suraj Nair
Physical Intelligence
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Cited by
Cited by
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
R3m: A universal visual representation for robot manipulation
S Nair, A Rajeswaran, V Kumar, C Finn, A Gupta
arXiv preprint arXiv:2203.12601, 2022
RoboNet: Large-scale multi-robot learning
S Dasari, F Ebert, S Tian, S Nair, B Bucher, K Schmeckpeper, S Singh, ...
Conference on Robot Learning (CoRL), 2019
Neural task programming: Learning to generalize across hierarchical tasks
D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese
2018 IEEE international conference on robotics and automation (ICRA), 3795-3802, 2018
Recovery rl: Safe reinforcement learning with learned recovery zones
B Thananjeyan, A Balakrishna, S Nair, M Luo, K Srinivasan, M Hwang, ...
IEEE Robotics and Automation Letters 6 (3), 4915-4922, 2021
Neural task graphs: Generalizing to unseen tasks from a single video demonstration
DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
S Nair, C Finn
2020 International Conference on Learning Representations (ICLR), 2019
Reliable real‐time seismic signal/noise discrimination with machine learning
MA Meier, ZE Ross, A Ramachandran, A Balakrishna, S Nair, P Kundzicz, ...
Journal of Geophysical Research: Solid Earth 124 (1), 788-800, 2019
Learning language-conditioned robot behavior from offline data and crowd-sourced annotation
S Nair, E Mitchell, K Chen, B Ichter, S Savarese, C Finn
Conference on Robot Learning, 1303-1315, 2022
Greedy hierarchical variational autoencoders for large-scale video prediction
B Wu, S Nair, R Martin-Martin, L Fei-Fei, C Finn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Learning generalizable robotic reward functions from" in-the-wild" human videos
AS Chen, S Nair, C Finn
arXiv preprint arXiv:2103.16817, 2021
Language-driven representation learning for robotics
S Karamcheti, S Nair, AS Chen, T Kollar, C Finn, D Sadigh, P Liang
arXiv preprint arXiv:2302.12766, 2023
Fitvid: Overfitting in pixel-level video prediction
M Babaeizadeh, MT Saffar, S Nair, S Levine, C Finn, D Erhan
arXiv preprint arXiv:2106.13195, 2021
Goal-aware prediction: Learning to model what matters
S Nair, S Savarese, C Finn
International Conference on Machine Learning, 7207-7219, 2020
Causal induction from visual observations for goal directed tasks
S Nair, Y Zhu, S Savarese, L Fei-Fei
arXiv preprint arXiv:1910.01751, 2019
Model-Based Visual Planning with Self-Supervised Functional Distances
S Tian, S Nair, F Ebert, S Dasari, B Eysenbach, C Finn, S Levine
2021 International Conference on Learning Representations (ICLR), 2020
Trass: Time reversal as self-supervision
S Nair, M Babaeizadeh, C Finn, S Levine, V Kumar
2020 IEEE International Conference on Robotics and Automation (ICRA), 115-121, 2020
Example-driven model-based reinforcement learning for solving long-horizon visuomotor tasks
B Wu, S Nair, L Fei-Fei, C Finn
arXiv preprint arXiv:2109.10312, 2021
Batch exploration with examples for scalable robotic reinforcement learning
AS Chen, HJ Nam, S Nair, C Finn
IEEE Robotics and Automation Letters 6 (3), 4401-4408, 2021
Play it by ear: Learning skills amidst occlusion through audio-visual imitation learning
M Du, OY Lee, S Nair, C Finn
arXiv preprint arXiv:2205.14850, 2022
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