| Deepsdf: Learning Continuous Signed Distance Functions for Shape Representation JJ Park, P Florence, J Straub, R Newcombe, S Lovegrove IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 165-174, 2019 | 3914 | 2019 |
| PaLM-E: An Embodied Multimodal Language Model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 1462 | 2023 |
| RT-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... Conference on Robot Learning, 2023 | 845 | 2023 |
| Inner monologue: Embodied reasoning through planning with language models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... Conference on Robot Learning (CoRL), 2022 | 821 | 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 | 762 | 2023 |
| Socratic models: Composing zero-shot multimodal reasoning with language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... arXiv preprint arXiv:2204.00598, 2022 | 487 | 2022 |
| iNeRF: Inverting Neural Radiance Fields for Pose Estimation L Yen-Chen, P Florence, JT Barron, A Rodriguez, P Isola, TY Lin IEEE International Conference on Intelligent Robots and Systems (IROS), 2021 | 470* | 2021 |
| Transporter Networks: Rearranging the Visual World for Robotic Manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... Conference on Robot Learning (CoRL), 2020 | 460 | 2020 |
| Implicit Behavioral Cloning P Florence, C Lynch, A Zeng, OA Ramirez, A Wahid, L Downs, A Wong, ... Conference on Robot Learning, 2021 | 366 | 2021 |
| Dense Object Nets: Learning Dense Visual Object Descriptors by and for Robotic Manipulation PR Florence, L Manuelli, R Tedrake Conference on Robot Learning (CoRL), 2018 | 305 | 2018 |
| kPAM: Keypoint Affordances for Category-level Robotic Manipulation L Manuelli, W Gao, P Florence, R Tedrake International Symposium of Robotic Research (ISRR), 2019 | 291 | 2019 |
| Towards Generalist Biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... arXiv preprint arXiv:2307.14334, 2023 | 273 | 2023 |
| Learning to rearrange deformable cables, fabrics, and bags with goal-conditioned transporter networks D Seita, P Florence, J Tompson, E Coumans, V Sindhwani, K Goldberg, ... IEEE International Conference on Robotics and Automation (ICRA), 4568-4575, 2021 | 190 | 2021 |
| Interactive Language: Talking to Robots in Real Time C Lynch, A Wahid, J Tompson, T Ding, J Betker, R Baruch, T Armstrong, ... IEEE Robotics and Automation Letters, 2023 | 189 | 2023 |
| Self-Supervised Correspondence in Visuomotor Policy Learning P Florence, L Manuelli, R Tedrake IEEE Robotics and Automation Letters 5 (2), 492-499, 2019 | 172 | 2019 |
| Large language models as general pattern machines S Mirchandani, F Xia, P Florence, B Ichter, D Driess, MG Arenas, K Rao, ... arXiv preprint arXiv:2307.04721, 2023 | 154 | 2023 |
| NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields L Yen-Chen, P Florence, JT Barron, TY Lin, A Rodriguez, P Isola IEEE International Conference on Robotics and Automation (ICRA), 2022 | 140 | 2022 |
| LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes P Marion, PR Florence, L Manuelli, R Tedrake IEEE International Conference on Robotics and Automation (ICRA), 3235-3242, 2018 | 139 | 2018 |
| Scaling up and distilling down: Language-guided robot skill acquisition H Ha, P Florence, S Song Conference on Robot Learning, 3766-3777, 2023 | 117 | 2023 |
| XIRL: Cross-embodiment Inverse Reinforcement Learning K Zakka, A Zeng, P Florence, J Tompson, J Bohg, D Dwibedi Conference on Robot Learning (CoRL), 2021 | 112 | 2021 |
Andy ZengResearch Scientist, Google DeepMindEmail verificata su google.com
