| 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 | 2036 | 2019 |
| 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 | 222 | 2018 |
| 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 | 191 | 2020 |
| 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 | 190* | 2021 |
| kPAM: Keypoint Affordances for Category-level Robotic Manipulation L Manuelli, W Gao, P Florence, R Tedrake International Symposium of Robotic Research (ISRR), 2019 | 182 | 2019 |
| Implicit Behavioral Cloning P Florence, C Lynch, A Zeng, OA Ramirez, A Wahid, L Downs, A Wong, ... Conference on Robot Learning, 2021 | 108 | 2021 |
| 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 | 107 | 2022 |
| 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 | 107 | 2022 |
| 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 | 100 | 2021 |
| 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 | 100 | 2018 |
| Self-Supervised Correspondence in Visuomotor Policy Learning P Florence, L Manuelli, R Tedrake IEEE Robotics and Automation Letters 5 (2), 492-499, 2019 | 97 | 2019 |
| High‐speed Autonomous Obstacle Avoidance with Pushbroom Stereo AJ Barry, PR Florence, R Tedrake Journal of Field Robotics 35 (1), 52-68, 2018 | 95 | 2018 |
| Aggressive Quadrotor Flight Through Cluttered Environments Using Mixed Integer Programming B Landry, R Deits, PR Florence, R Tedrake IEEE International Conference on Robotics and Automation (ICRA), 1469-1475, 2016 | 82 | 2016 |
| 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 | 79 | 2023 |
| Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps P Florence, J Carter, R Tedrake Algorithmic Foundations of Robotics XII. Springer, 304-319, 2020 | 67 | 2020 |
| Keypoints into the Future: Self-Supervised Correspondence in Model-based Reinforcement Learning L Manuelli, Y Li, P Florence, R Tedrake Conference on Robot Learning (CoRL), 2020 | 59 | 2020 |
| 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 | 47 | 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 arXiv preprint arXiv:2209.07753, 2022 | 46 | 2022 |
| Systems and methods for probabilistic semantic sensing in a sensory network PR Florence, CD Sachs, KW Ryhorchuk US Patent 10,417,570, 2019 | 43 | 2019 |
| Nanomap: Fast, Uncertainty-aware Proximity Queries with Lazy Search Over Local 3D Data PR Florence, J Carter, J Ware, R Tedrake IEEE International Conference on Robotics and Automation (ICRA), 7631-7638, 2018 | 42 | 2018 |
Andy ZengResearch Scientist, GoogleПотвърден имейл адрес: google.com
