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| TidyBot: Personalized robot assistance with large language models J Wu, R Antonova, A Kan, M Lepert, A Zeng, S Song, J Bohg, ... arXiv preprint arXiv:2305.05658, 2023 | 144 | 2023 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 114* | 2023 |
| Spatial action maps for mobile manipulation J Wu, X Sun, A Zeng, S Song, J Lee, S Rusinkiewicz, T Funkhouser Robotics: Science and Systems (RSS), 2020 | 64 | 2020 |
| Real-time object pose estimation with pose interpreter networks J Wu, B Zhou, R Russell, V Kee, S Wagner, M Hebert, A Torralba, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 54 | 2018 |
| DeepMiner: Discovering interpretable representations for mammogram classification and explanation J Wu, B Zhou, D Peck, S Hsieh, V Dialani, L Mackey, G Patterson Harvard Data Science Review 3 (4), 2021 | 28 | 2021 |
| Spatial intention maps for multi-agent mobile manipulation J Wu, X Sun, A Zeng, S Song, S Rusinkiewicz, T Funkhouser 2021 IEEE International Conference on Robotics and Automation (ICRA), 8749-8756, 2021 | 26 | 2021 |
| Expert identification of visual primitives used by CNNs during mammogram classification J Wu, D Peck, S Hsieh, V Dialani, CD Lehman, B Zhou, V Syrgkanis, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 633-641, 2018 | 20 | 2018 |
| Learning pneumatic non-prehensile manipulation with a mobile blower J Wu, X Sun, A Zeng, S Song, S Rusinkiewicz, T Funkhouser IEEE Robotics and Automation Letters 7 (3), 8471-8478, 2022 | 7 | 2022 |
| Equivact: Sim (3)-equivariant visuomotor policies beyond rigid object manipulation J Yang, C Deng, J Wu, R Antonova, L Guibas, J Bohg arXiv preprint arXiv:2310.16050, 2023 | 3 | 2023 |
| 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 | 2 | 2024 |
