# Projects using robomimic

A list of projects and papers that use **robomimic**. If you would like to add your work to this list, please send the paper or project information to Ajay Mandlekar (<amandlek@cs.stanford.edu>).

## 2022

- [Imitation Learning by Estimating Expertise of Demonstrators](https://arxiv.org/abs/2202.01288) Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

## 2021

- [RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning](https://arxiv.org/abs/2111.02767) Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphael Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev
- [Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation](https://arxiv.org/abs/2112.05251) Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín
- [Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control](https://arxiv.org/abs/2103.00375) Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese
- [Deep Affordance Foresight: Planning Through What Can Be Done in the Future](https://arxiv.org/abs/2011.08424) Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei
- [Learning Multi-Arm Manipulation Through Collaborative Teleoperation](https://arxiv.org/abs/2012.06738) Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese
- [Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations](https://arxiv.org/abs/2003.06085) Ajay Mandlekar\*, Danfei Xu\*, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

## 2020

- [Human-in-the-Loop Imitation Learning using Remote Teleoperation](https://arxiv.org/abs/2012.06733) Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese
- [IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data](https://arxiv.org/abs/1911.05321). Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox