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DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

A. Khazatsky, K. Pertsch, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. Srirama, L. Chen, K. Ellis, P. Fagan, J. Hejna, M. Itkina, M. Lepert, Y. Ma, P. Miller, J. Wu, S. Belkhale, S. Dass, H. Ha, A. Jain, A. Lee, Y. Lee, M. Memmel, S. Park, I. Radosavovic, K. Wang, A. Zhan, K. Black, C. Chi, K. Hatch, S. Lin, J. Lu, J. Mercat, A. Rehman, P. Sanketi, A. Sharma, C. Simpson, Q. Vuong, H. Walke, B. Wulfe, T. Xiao, J. Yang, A. Yavary, T. Zhao, C. Agia, R. Baijal, M. Castro, D. Chen, Q. Chen, T. Chung, J. Drake, E. Foster, and et al.. CoRR, (2024)

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Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

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Text Analysis and Automatic Triage of Posts in a Mental Health Forum.E. Asgari, S. Nasiriany, and M. Mofrad. CLPsych@HLT-NAACL, page 153-157. The Association for Computational Linguistics, (2016)Learning and Retrieval from Prior Data for Skill-based Imitation Learning.S. Nasiriany, T. Gao, A. Mandlekar, and Y. Zhu. CoRL, volume 205 of Proceedings of Machine Learning Research, page 2181-2204. PMLR, (2022)Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.A. O'Neill, A. Rehman, A. Maddukuri, A. Gupta, A. Padalkar, A. Lee, A. Pooley, A. Gupta, A. Mandlekar, A. Jain and 269 other author(s). ICRA, page 6892-6903. IEEE, (2024)DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies.S. Nasiriany, V. Pong, A. Nair, A. Khazatsky, G. Berseth, and S. Levine. ICRA, page 6635-6641. IEEE, (2021)MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.A. Mandlekar, S. Nasiriany, B. Wen, I. Akinola, Y. Narang, L. Fan, Y. Zhu, and D. Fox. CoRL, volume 229 of Proceedings of Machine Learning Research, page 1820-1864. PMLR, (2023)Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment.H. Liu, S. Nasiriany, L. Zhang, Z. Bao, and Y. Zhu. Robotics: Science and Systems, (2023)Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks.S. Nasiriany, H. Liu, and Y. Zhu. ICRA, page 7477-7484. IEEE, (2022)DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.A. Khazatsky, K. Pertsch, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. Srirama, L. Chen, K. Ellis and 44 other author(s). CoRR, (2024)PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning.T. Gao, S. Nasiriany, H. Liu, Q. Yang, and Y. Zhu. IEEE Robotics Autom. Lett., 9 (10): 8322-8329 (October 2024)Planning with Goal-Conditioned Policies.S. Nasiriany, V. Pong, S. Lin, and S. Levine. NeurIPS, page 14814-14825. (2019)

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Disambiguation of "Nasiriany, Soroush"

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DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Please choose a person to relate this publication to

Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nasiriany, Soroush"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Please choose a person to relate this publication to

Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.