Suraj Nair

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Soavtorji

Chelsea FinnStanford University, Physical IntelligencePreverjeni e-poštni naslov na cs.stanford.edu
Sergey LevineUC Berkeley, Physical IntelligencePreverjeni e-poštni naslov na eecs.berkeley.edu
Ashwin BalakrishnaGoogle DeepMindPreverjeni e-poštni naslov na google.com
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Dorsa SadighStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchPreverjeni e-poštni naslov na cs.utexas.edu
Siddharth KaramchetiPhD Student - Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Annie S. ChenStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Animesh GargGeorgia Institute of Technology, University of Toronto, NvidiaPreverjeni e-poštni naslov na gatech.edu
Danfei XuAssistant Professor at School of Interactive ComputingPreverjeni e-poštni naslov na gatech.edu
Frederik EbertUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Stephen TianStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Sudeep DasariGoogle DeepMindPreverjeni e-poštni naslov na cs.cmu.edu
Brijen ThananjeyanSenior Research Scientist, Ambi RoboticsPreverjeni e-poštni naslov na ambirobotics.com
Aravind RajeswaranMeta AI, UC BerkeleyPreverjeni e-poštni naslov na cs.washington.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu
Mohammad BabaeizadehGoogle BrainPreverjeni e-poštni naslov na google.com
De-An HuangStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu

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Suraj Nair

Physical Intelligence

Preverjeni e-poštni naslov na physicalintelligence.company - Domača stran

Machine Learning Robotics Computer Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	4927	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	550	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	323	2019
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	266	2021
Openvla: An open-source vision-language-action model MJ Kim, K Pertsch, S Karamcheti, T Xiao, A Balakrishna, S Nair, ... arXiv preprint arXiv:2406.09246, 2024	255	2024
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	248	2018
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	167	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	163	2022
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	161	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	147	2019
Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024	139	2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration⁰ A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	136	2024
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	136	2023
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	128	2021
Learning generalizable robotic reward functions from" in-the-wild" human videos AS Chen, S Nair, C Finn arXiv preprint arXiv:2103.16817, 2021	123	2021
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	89	2021
Prismatic vlms: Investigating the design space of visually-conditioned language models S Karamcheti, S Nair, A Balakrishna, P Liang, T Kollar, D Sadigh Forty-first International Conference on Machine Learning, 2024	88	2024
Goal-aware prediction: Learning to model what matters S Nair, S Savarese, C Finn International Conference on Machine Learning, 7207-7219, 2020	81	2020
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	68	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	67	2019

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