| On the opportunities and risks of foundation models R Bommasani arXiv preprint arXiv:2108.07258, 2021 | 8178 | 2021 |
| Openvla: An open-source vision-language-action model MJ Kim, K Pertsch, S Karamcheti, T Xiao, A Balakrishna, S Nair, ... arXiv preprint arXiv:2406.09246, 2024 | 1459 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| 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 | 919 | 2024 |
| Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint arXiv:2307.15217, 2023 | 874 | 2023 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... arXiv preprint arXiv:2405.12213, 2024 | 840 | 2024 |
| Planning for autonomous cars that leverage effects on human actions. D Sadigh, S Sastry, SA Seshia, AD Dragan Robotics: Science and systems 2, 1-9, 2016 | 719 | 2016 |
| Spatialvlm: Endowing vision-language models with spatial reasoning capabilities B Chen, Z Xu, S Kirmani, B Ichter, D Sadigh, L Guibas, F Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 567 | 2024 |
| Toward verified artificial intelligence SA Seshia, D Sadigh, SS Sastry Communications of the ACM 65 (7), 46-55, 2022 | 515 | 2022 |
| Active preference-based learning of reward functions D Sadigh, A Dragan, S Sastry, S Seshia | 499 | 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 | 495 | 2024 |
| 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 | 441 | 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 1 (2), 2023 | 438 | 2023 |
| Reward design with language models M Kwon, SM Xie, K Bullard, D Sadigh arXiv preprint arXiv:2303.00001, 2023 | 414 | 2023 |
| Reactive synthesis from signal temporal logic specifications V Raman, A Donzé, D Sadigh, RM Murray, SA Seshia Proceedings of the 18th international conference on hybrid systems …, 2015 | 389 | 2015 |
| Hierarchical game-theoretic planning for autonomous vehicles JF Fisac, E Bronstein, E Stefansson, D Sadigh, SS Sastry, AD Dragan 2019 International conference on robotics and automation (ICRA), 9590-9596, 2019 | 359 | 2019 |
| Robots that ask for help: Uncertainty alignment for large language model planners AZ Ren, A Dixit, A Bodrova, S Singh, S Tu, N Brown, P Xu, L Takayama, ... arXiv preprint arXiv:2307.01928, 2023 | 346 | 2023 |
| Multi-agent generative adversarial imitation learning J Song, H Ren, D Sadigh, S Ermon Advances in neural information processing systems 31, 2018 | 332 | 2018 |
| 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 | 307 | 2023 |
| Information gathering actions over human internal state D Sadigh, SS Sastry, SA Seshia, A Dragan 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 269 | 2016 |
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
