| 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 | 98 | 2023 |
| 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 | 74 | 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 | 59 | 2023 |
| Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability R Fernandez, N John, S Kirmani, J Hart, J Sinapov, P Stone IEEE International Conference on Robot and Human Interactive Communication …, 2018 | 38 | 2018 |
| Spatialvlm: Endowing vision-language models with spatial reasoning capabilities B Chen, Z Xu, S Kirmani, B Ichter, D Driess, P Florence, D Sadigh, ... arXiv preprint arXiv:2401.12168, 2024 | 15 | 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 | 14 | 2023 |
| PRISM: Pose Registration for Integrated Semantic Mapping JW Hart, R Shah, S Kirmani, N Walker, K Baldauf, N John, P Stone IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 | 12 | 2018 |
| 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 | 8 | 2024 |
| How to prompt your robot: A promptbook for manipulation skills with code as policies MG Arenas, T Xiao, S Singh, V Jain, AZ Ren, Q Vuong, J Varley, A Herzog, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 8 | 2023 |
| Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 8 | 2023 |
| 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 | 5 | 2024 |
| Rt-trajectory: Robotic task generalization via hindsight trajectory sketches J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ... arXiv preprint arXiv:2311.01977, 2023 | 5 | 2023 |
| Practical imitation learning in the real world via task consistency loss M Khansari, D Ho, Y Du, A Fuentes, M Bennice, N Sievers, S Kirmani, ... arXiv preprint arXiv:2202.01862, 2022 | 5 | 2022 |
| Fusing multiple depth sensing modalities G Satat, M Quinlan, S Kirmani, A Angelova, A Gordon US Patent 11,450,018, 2022 | 2 | 2022 |
| Object association using machine learning models S Kirmani, G Satat, M Quinlan US Patent 11,440,196, 2022 | 2 | 2022 |
| Learning to Learn Faster from Human Feedback with Language Model Predictive Control J Liang, F Xia, W Yu, A Zeng, MG Arenas, M Attarian, M Bauza, M Bennice, ... arXiv preprint arXiv:2402.11450, 2024 | 1 | 2024 |
| RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches P Sundaresan, Q Vuong, J Gu, P Xu, T Xiao, S Kirmani, T Yu, M Stark, ... | 1 | 2023 |
| Robotic Task Generalization via Hindsight Trajectory Sketches J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ... The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Practical Visual Deep Imitation Learning via Task-Level Domain Consistency M Khansari, D Ho, Y Du, A Fuentes, M Bennice, N Sievers, S Kirmani, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1837-1844, 2023 | 1 | 2023 |
| Engagement detection and attention estimation for human-robot interaction S Kirmani, M Quinlan, S Coe US Patent 11,436,869, 2022 | 1 | 2022 |
Ted XiaoSenior Research Scientist, Google DeepMindE-mailová adresa ověřena na: google.com
