| 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 | 1784* | 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 | 824 | 2022 |
| Inner Monologue: Embodied Reasoning Through Planning with Language Models W Huang*, F Xia*, T Xiao*, H Chan, J Liang, P Florence, A Zeng, ... arXiv preprint arXiv:2207.05608, 2022 | 821 | 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 | 681 | 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 | 425 | 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 | 373* | 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 | 232 | 2023 |
| 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 | 175 | 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 | 155 | 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 | 147 | 2017 |
| 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 | 133 | 2024 |
| Open-world Object Manipulation Using Pre-trained Vision-Language Models A Stone*, T Xiao*, Y Lu*, K Gopalakrishnan, KH Lee, Q Vuong, ... arXiv preprint arXiv:2303.00905, 2023 | 129 | 2023 |
| 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 | 126 | 2024 |
| 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 | 116 | 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 | 113 | 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 | 83 | 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 | 76 | 2024 |
| 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 | 69 | 2022 |
| 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 | 66 | 2021 |
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Sergey LevineUC Berkeley, Physical IntelligenceBestätigte E-Mail-Adresse bei eecs.berkeley.edu
