| 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 | 375* | 2024 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... Proceedings of Robotics: Science and Systems, Delft, Netherlands, 2023 | 174* | 2023 |
| Bridgedata v2: A dataset for robot learning at scale HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ... Conference on Robot Learning, 1723-1736, 2023 | 141* | 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 | 78 | 2024 |
| Zero-shot robotic manipulation with pretrained image-editing diffusion models K Black, M Nakamoto, P Atreya, H Walke, C Finn, A Kumar, S Levine arXiv preprint arXiv:2310.10639, 2023 | 77 | 2023 |
| Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning HR Walke, JH Yang, A Yu, A Kumar, J Orbik, A Singh, S Levine Conference on Robot Learning, 1652-1662, 2023 | 36 | 2023 |
| Plad: Learning to infer shape programs with pseudo-labels and approximate distributions RK Jones, H Walke, D Ritchie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26* | 2022 |
| Generalization with lossy affordances: Leveraging broad offline data for learning visuomotor tasks K Fang, P Yin, A Nair, HR Walke, G Yan, S Levine Conference on Robot Learning, 106-117, 2023 | 24 | 2023 |
| Goal representations for instruction following: A semi-supervised language interface to control V Myers, AW He, K Fang, HR Walke, P Hansen-Estruch, CA Cheng, ... Conference on Robot Learning, 3894-3908, 2023 | 22 | 2023 |
| Evaluating Real-World Robot Manipulation Policies in Simulation X Li, K Hsu, J Gu, K Pertsch, O Mees, HR Walke, C Fu, I Lunawat, I Sieh, ... arXiv preprint arXiv:2405.05941, 2024 | 20 | 2024 |
| Scaling cross-embodied learning: One policy for manipulation, navigation, locomotion and aviation R Doshi, H Walke, O Mees, S Dasari, S Levine arXiv preprint arXiv:2408.11812, 2024 | 15 | 2024 |
| Stabilizing contrastive rl: Techniques for offline goal reaching C Zheng, B Eysenbach, H Walke, P Yin, K Fang, R Salakhutdinov, ... arXiv preprint arXiv:2306.03346, 2023 | 9* | 2023 |
| Autonomous improvement of instruction following skills via foundation models Z Zhou, P Atreya, A Lee, H Walke, O Mees, S Levine arXiv preprint arXiv:2407.20635, 2024 | 2 | 2024 |
| Learning finite linear temporal logic specifications with a specialized neural operator H Walke, D Ritter, C Trimbach, M Littman arXiv preprint arXiv:2111.04147, 2021 | 2 | 2021 |
| Kalie: Fine-tuning vision-language models for open-world manipulation without robot data G Tang, S Rajkumar, Y Zhou, HR Walke, S Levine, K Fang arXiv preprint arXiv:2409.14066, 2024 | 1 | 2024 |
| Learning Finite Linear Temporal Logic Formulas H Walke | | 2021 |
