| Tidybot: Personalized robot assistance with large language models J Wu, R Antonova, A Kan, M Lepert, A Zeng, S Song, J Bohg, ... Autonomous Robots 47 (8), 1087-1102, 2023 | 295 | 2023 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 269 | 2023 |
| SegICP: Integrated deep semantic segmentation and pose estimation JM Wong, V Kee, T Le, S Wagner, GL Mariottini, A Schneider, L Hamilton, ... 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 187 | 2017 |
| 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 | 79 | 2024 |
| 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 | 75 | 2020 |
| Open X-Embodiment: Robotic learning datasets and RT-X models OXE Collaboration, A O’Neill, A Rehman, A Maddukuri, A Gupta, ... arXiv preprint arXiv:2310.08864 1 (2), 2023 | 64 | 2023 |
| 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 | 59 | 2018 |
| 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 | 33 | 2024 |
| 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 | 30 | 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 | 28 | 2021 |
| Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 26 | 2023 |
| Equivact: Sim (3)-equivariant visuomotor policies beyond rigid object manipulation J Yang, C Deng, J Wu, R Antonova, L Guibas, J Bohg 2024 IEEE International Conference on Robotics and Automation (ICRA), 9249-9255, 2024 | 22 | 2024 |
| 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 | 21 | 2018 |
| Open X-Embodiment: Robotic learning datasets and RT-X models Open X-Embodiment Collaboration arXiv preprint arXiv:2310.08864, 2023 | 16 | 2023 |
| Consistency policy: Accelerated visuomotor policies via consistency distillation A Prasad, K Lin, J Wu, L Zhou, J Bohg arXiv preprint arXiv:2405.07503, 2024 | 14 | 2024 |
| 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 | 9 | 2022 |
| Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Y Huang, C Agia, J Wu, T Hermans, J Bohg arXiv preprint arXiv:2408.14769, 2024 | 1 | 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 | | 2024 |
| TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning J Wu, W Chong, R Holmberg, A Prasad, Y Gao, O Khatib, S Song, ... 8th Annual Conference on Robot Learning, 2024 | | 2024 |
