| 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, ... Conference on Robot Learning, 287-318, 2023 | 1770* | 2023 |
| Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine Conference on Robot Learning, 1094-1100, 2020 | 1160 | 2020 |
| 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 | 810* | 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 | 800 | 2022 |
| Dynamic, free-space user interactions for machine control R Bedikian, J Marsden, K Mertens, D Holz, M Sills, M Perez, GA Hare, ... US Patent 9,459,697, 2016 | 292 | 2016 |
| 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 | 290* | 2023 |
| Actionable Models: Unsupervised Offline Learning of Robotic Skills A Irpan, B Eysenbach, C Finn, D Kalashnikov, J Varley, K Hausman, ... International Conference on Machine Learning, 2021 | 155* | 2021 |
| Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning R Julian, B Swanson, GS Sukhatme, S Levine, C Finn, K Hausman Conference on Robot Learning, 2020 | 115* | 2020 |
| Performance Analysis and Terrain Classification for a Legged Robot over Rough Terrain FL Garcia Bermudez, RC Julian, DW Haldane, P Abbeel, RS Fearing Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012 | 89* | 2012 |
| 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 | 87 | 2024 |
| Cooperative Control and Modeling for Narrow Passage Traversal with an Ornithopter MAV and Lightweight Ground Station RC Julian, CJ Rose, H Hu, RS Fearing Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 36 | 2013 |
| AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents M Ahn, D Dwibedi, C Finn, MG Arenas, K Gopalakrishnan, K Hausman, ... arXiv preprint arXiv:2401.12963, 2024 | 34 | 2024 |
| Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ... arXiv preprint arXiv:2305.03270, 2023 | 26 | 2023 |
| Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing Z He, R Julian, E Heiden, H Zhang, JJ Lim, S Schaal, G Sukhatme, ... | 21* | 2018 |
| Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills R Julian, E Heiden, Z He, H Zhang, S Schaal, J Lim, G Sukhatme, ... Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020 | 15 | 2020 |
| Method for synchronizing operation of systems RC Julian, HE Hongyuan, DS Holz US Patent 9,348,419, 2016 | 11 | 2016 |
| Scaling Simulation-to-Real Transfer by Learning a Latent Space of Robot Skills RC Julian, E Heiden, Z He, H Zhang, S Schaal, JJ Lim, GS Sukhatme, ... The International Journal of Robotics Research 39 (10-11), 1259-1278, 2020 | 6 | 2020 |
| Efficient Multi-Task Learning via Iterated Single-Task Transfer KR Zentner, U Puri, Y Zhang, R Julian, GS Sukhatme 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
| A Simple Approach to Continual Learning by Transferring Skill Parameters KR Zentner, R Julian, U Puri, Y Zhang, GS Sukhatme arXiv preprint arXiv:2110.10255, 2021 | 4 | 2021 |
| Auto-Conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation H Zhang, E Heiden, R Julian, Z He, JJ Lim, GS Sukhatme arXiv preprint arXiv:1810.00146, 2018 | 3 | 2018 |
Karol HausmanPhysical Intelligence, StanfordVerified email at physicalintelligence.company
