| Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, B Ichter, F Xia, E Chi, Q Le, ... arXiv preprint arXiv:2201.11903, 2022 | 9612 | 2022 |
| Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ... arXiv preprint arXiv:2204.01691, 2022 | 1783* | 2022 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 1409 | 2023 |
| Inner monologue: Embodied reasoning through planning with language models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... arXiv preprint arXiv:2207.05608, 2022 | 799 | 2022 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 789* | 2023 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 787 | 2022 |
| Code as policies: Language model programs for embodied control J Liang, W Huang, F Xia, P Xu, K Hausman, B Ichter, P Florence, A Zeng 2023 IEEE International Conference on Robotics and Automation (ICRA), 9493-9500, 2023 | 737 | 2023 |
| Socratic models: Composing zero-shot multimodal reasoning with language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... arXiv preprint arXiv:2204.00598, 2022 | 515 | 2022 |
| Learning sampling distributions for robot motion planning B Ichter, J Harrison, M Pavone arXiv preprint arXiv:1709.05448, 2018 | 418 | 2018 |
| Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action D Shah, B Osiński, B Ichter, S Levine Conference on Robot Learning, 492-504, 2023 | 398 | 2023 |
| Chi J Wei, X Wang, D Schuurmans, M Bosma, B Ichter, F Xia Jiaying Liu, Qi Tian, and Alan L Yuille, Iterative reorganization with weak …, 2019 | 317 | 2019 |
| 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 | 301* | 2023 |
| Language to rewards for robotic skill synthesis W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ... arXiv preprint arXiv:2306.08647, 2023 | 223 | 2023 |
| Robot motion planning in learned latent spaces B Ichter, M Pavone IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019 | 198 | 2019 |
| Open-vocabulary queryable scene representations for real world planning B Chen, F Xia, B Ichter, K Rao, K Gopalakrishnan, MS Ryoo, A Stone, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 11509 …, 2023 | 174 | 2023 |
| Deterministic sampling-based motion planning: Optimality, complexity, and performance L Janson, B Ichter, M Pavone The International Journal of Robotics Research 37 (1), 46-61, 2018 | 174 | 2018 |
| Learning language-conditioned robot behavior from offline data and crowd-sourced annotation S Nair, E Mitchell, K Chen, B Ichter, S Savarese, C Finn Conference on Robot Learning, 1303-1315, 2022 | 153 | 2022 |
| Large language models as general pattern machines S Mirchandani, F Xia, P Florence, B Ichter, D Driess, MG Arenas, K Rao, ... arXiv preprint arXiv:2307.04721, 2023 | 147 | 2023 |
| Scaling robot learning with semantically imagined experience T Yu, T Xiao, A Stone, J Tompson, A Brohan, S Wang, J Singh, C Tan, ... arXiv preprint arXiv:2302.11550, 2023 | 117* | 2023 |
| Foundation models in robotics: Applications, challenges, and the future R Firoozi, J Tucker, S Tian, A Majumdar, J Sun, W Liu, Y Zhu, S Song, ... The International Journal of Robotics Research, 02783649241281508, 2023 | 97 | 2023 |
Fei XiaResearch Scientist, Google DeepMindVerified email at google.com