| 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, ... arXiv preprint arXiv:2204.01691, 2022 | 1539* | 2022 |
| 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 | 726 | 2022 |
| 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 | 648 | 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 | 524 | 2023 |
| Learning Latent Plans from Play C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet Conference on Robot Learning (CoRL), 2019, 1113-1132, 2019 | 400 | 2019 |
| 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 | 203 | 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 | 192 | 2023 |
| Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ... International Conference on Machine Learning (ICML), 2021, 2021 | 148 | 2021 |
| Goal-driven Dynamics Learning via Bayesian Optimization S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5168-5173, 2017 | 141 | 2017 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023 | 122 | 2023 |
| Jump-start Reinforcement Learning I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ... International Conference on Machine Learning, 34556-34583, 2023 | 102 | 2023 |
| Open-world Object Manipulation Using Pre-trained Vision-Language Models A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ... arXiv preprint arXiv:2303.00905, 2023 | 102 | 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 | 85 | 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 | 81 | 2024 |
| Physically grounded vision-language models for robotic manipulation J Gao, B Sarkar, F Xia, T Xiao, J Wu, B Ichter, A Majumdar, D Sadigh 2024 IEEE International Conference on Robotics and Automation (ICRA), 12462 …, 2024 | 65 | 2024 |
| AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning (CoRL), 2021, 1078-1088, 2021 | 62 | 2021 |
| Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models T Xiao, H Chan, P Sermanet, A Wahid, A Brohan, K Hausman, S Levine, ... arXiv preprint arXiv:2211.11736, 2022 | 60 | 2022 |
| Thinking While Moving: Deep Reinforcement Learning with Concurrent Control T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog International Conference on Learning Representations (ICLR), 2020, 2020 | 46 | 2020 |
| 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 | 36 | 2024 |
| Value function spaces: Skill-centric state abstractions for long-horizon reasoning D Shah, P Xu, Y Lu, T Xiao, A Toshev, S Levine, B Ichter arXiv preprint arXiv:2111.03189, 2021 | 35 | 2021 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
