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| 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 | 954 | 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 | 872 | 2023 |
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| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 485* | 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 | 279 | 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 | 217 | 2023 |
| 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 | 209 | 2023 |
| Omniquant: Omnidirectionally calibrated quantization for large language models W Shao, M Chen, Z Zhang, P Xu, L Zhao, Z Li, K Zhang, P Gao, Y Qiao, ... arXiv preprint arXiv:2308.13137, 2023 | 203 | 2023 |
| Learning to walk in the real world with minimal human effort S Ha, P Xu, Z Tan, S Levine, J Tan arXiv preprint arXiv:2002.08550, 2020 | 194 | 2020 |
| Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models P Xu, W Shao, K Zhang, P Gao, S Liu, M Lei, F Meng, S Huang, Y Qiao, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 183 | 2024 |
| Imagebind-llm: Multi-modality instruction tuning J Han, R Zhang, W Shao, P Gao, P Xu, H Xiao, K Zhang, C Liu, S Wen, ... arXiv preprint arXiv:2309.03905, 2023 | 115 | 2023 |
| Pivot: Iterative visual prompting elicits actionable knowledge for vlms S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ... arXiv preprint arXiv:2402.07872, 2024 | 84 | 2024 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 83 | 2021 |
| Principles and guidelines for evaluating social robot navigation algorithms A Francis, C Pérez-d'Arpino, C Li, F Xia, A Alahi, R Alami, A Bera, ... arXiv preprint arXiv:2306.16740, 2023 | 67 | 2023 |
| Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi K Ying, F Meng, J Wang, Z Li, H Lin, Y Yang, H Zhang, W Zhang, Y Lin, ... arXiv preprint arXiv:2404.16006, 2024 | 61 | 2024 |
| Diffrate: Differentiable compression rate for efficient vision transformers M Chen, W Shao, P Xu, M Lin, K Zhang, F Chao, R Ji, Y Qiao, P Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 47 | 2023 |
| Learning model predictive controllers with real-time attention for real-world navigation X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ... arXiv preprint arXiv:2209.10780, 2022 | 47 | 2022 |
| Ibd: Alleviating hallucinations in large vision-language models via image-biased decoding L Zhu, D Ji, T Chen, P Xu, J Ye, J Liu arXiv preprint arXiv:2402.18476, 2024 | 44 | 2024 |
Fei XiaResearch Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
