# Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/open-x-embodiment-robotic-learning-datasets-and-rt-x-models-open-x-embodiment/

## Facts

| Field | Value |
| --- | --- |
| Author Names | A. O'Neill,Abdul Rehman,Abhiram Maddukuri,Abhishek Gupta,Abhishek Padalkar,Abraham Lee,Acorn Pooley,Agrim Gupta,Ajay Mandlekar,Ajinkya Jain,Albert Tung,Alex Bewley,Alex Herzog,Alex Irpan,Alexander Khazatsky,Anant Rai,Anchit Gupta,Andrew Wang,Anikait Singh,Animesh Garg,Aniruddha Kembhavi,Annie Xie,Anthony Brohan,Antonin Raffin,Archit Sharma,Arefeh Yavary,Arhan Jain,Ashwin Balakrishna,Ayzaan Wahid,Ben Burgess-Limerick,Beomjoon Kim,Bernhard Schölkopf,Blake Wulfe,Brian Ichter,Cewu Lu,Charles Xu,Charlotte Le,Chelsea Finn,Chen Wang,Chenfeng Xu,Cheng Chi,Chenguang Huang,Christine W. Chan,Christopher Agia,Chuer Pan,Chuyuan Fu,Coline Devin,Danfei Xu,Daniel Morton,Danny Driess,Daphne Chen,Deepak Pathak,Dhruv Shah,Dieter Büchler,Dinesh Jayaraman,Dmitry Kalashnikov,Dorsa Sadigh,Edward Johns,Ethan Foster,Fangchen Liu,Federico Ceola,Fei Xia,Feiyu Zhao,Freek Stulp,Gaoyue Zhou,Gaurav S. Sukhatme,Gautam Salhotra,Ge Yan,Gilbert Feng,Giulio Schiavi,Glen Berseth,Gregory Kahn,Guanzhi Wang,Hao Su,Haoshu Fang,Haochen Shi,Henghui Bao,Heni Ben Amor,Henrik I. Christensen,Hiroki Furuta,Homer Walke,Hongjie Fang,Huy Ha,Igor Mordatch,Ilija Radosavovic,Isabel Leal,Jacky Liang,Jad Abou-Chakra,Jae‐Hyung Kim,Jaimyn Drake,Jan Peters,Jan Schneider,Jasmine Hsu,Jeannette Bohg,Jeffrey Bingham,Jeffrey Wu,Jensen Gao,Jiaheng Hu,Jiajun Wu,Jialin Wu |
| Citations | 131 |
| DOI | 10.1109/icra57147.2024.10611477 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4401415287 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Subramanian Ramamoorthy](https://scholariq.org/researchers/subramanian-ramamoorthy/)

## Paper primary topic

- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)

## Paper topics

- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.