| Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... 6th Annual Conference on Robot Learning, 2022 | 1779* | 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 |
| Fast efficient algorithm for enhancement of low lighting video X Dong, G Wang, Y Pang, W Li, J Wen, W Meng, Y Lu 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 754 | 2011 |
| 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 |
| VILA: On pre-training for visual language models J Lin, H Yin, W Ping, Y Lu, P Molchanov, M Shoeybi, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 155 | 2024 |
| Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ... arXiv preprint arXiv:2104.07749, 2021 | 154 | 2021 |
| Princess: Privacy-protecting rare disease international network collaboration via encryption through software guard extensions F Chen, S Wang, X Jiang, S Ding, Y Lu, J Kim, SC Sahinalp, C Shimizu, ... Bioinformatics 33 (6), 871-878, 2017 | 139 | 2017 |
| 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 | 123 | 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 | 113 | 2023 |
| Wireless VR/AR with edge/cloud computing X Hou, Y Lu, S Dey 2017 26th International Conference on Computer Communication and Networks …, 2017 | 108 | 2017 |
| Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control W Huang, F Xia, D Shah, D Driess, A Zeng, Y Lu, P Florence, I Mordatch, ... arXiv preprint arXiv:2303.00855, 2023 | 82 | 2023 |
| Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions Y Chebotar, Q Vuong, K Hausman, F Xia, Y Lu, A Irpan, A Kumar, T Yu, ... Conference on Robot Learning, 3909-3928, 2023 | 69 | 2023 |
| Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 2024 | 67 | 2024 |
| AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning, 1078-1088, 2022 | 65 | 2022 |
| Delayed gradient averaging: Tolerate the communication latency for federated learning L Zhu, H Lin, Y Lu, Y Lin, S Han Advances in Neural Information Processing Systems 34, 29995-30007, 2021 | 65 | 2021 |
| Ultra fast H. 264/AVC to HEVC transcoder T Shen, Y Lu, Z Wen, L Zou, Y Chen, J Wen 2013 Data Compression Conference, 241-250, 2013 | 49 | 2013 |
| Enhancing Video Encoding for Cloud Gaming Using Rendering Information Y Liu, S Dey, Y Lu IEEE Transactions on Circuits and Systems for Video Technology 25 (12), 1960 …, 2015 | 48 | 2015 |
| PREMIX: Privacy-preserving EstiMation of individual admixture F Chen, M Dow, S Ding, Y Lu, X Jiang, H Tang, S Wang AMIA Annual Symposium Proceedings 2016, 1747, 2017 | 40 | 2017 |
| 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 | 36 | 2021 |
Karol HausmanPhysical Intelligence, StanfordEmail verificata su physicalintelligence.company