| Deepsdf: Learning continuous signed distance functions for shape representation JJ Park, P Florence, J Straub, R Newcombe, S Lovegrove Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 407 | 2019 |
| Dense object nets: Learning dense visual object descriptors by and for robotic manipulation PR Florence, L Manuelli, R Tedrake arXiv preprint arXiv:1806.08756, 2018 | 99 | 2018 |
| High‐speed autonomous obstacle avoidance with pushbroom stereo AJ Barry, PR Florence, R Tedrake Journal of Field Robotics 35 (1), 52-68, 2018 | 65 | 2018 |
| Aggressive quadrotor flight through cluttered environments using mixed integer programming B Landry, R Deits, PR Florence, R Tedrake 2016 IEEE international conference on robotics and automation (ICRA), 1469-1475, 2016 | 57 | 2016 |
| Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes P Marion, PR Florence, L Manuelli, R Tedrake 2018 IEEE International Conference on Robotics and Automation (ICRA), 3235-3242, 2018 | 53* | 2018 |
| kpam: Keypoint affordances for category-level robotic manipulation L Manuelli, W Gao, P Florence, R Tedrake arXiv preprint arXiv:1903.06684, 2019 | 51 | 2019 |
| Integrated perception and control at high speed: Evaluating collision avoidance maneuvers without maps P Florence, J Carter, R Tedrake Algorithmic Foundations of Robotics XII, 304-319, 2020 | 38 | 2020 |
| Systems and methods for probabilistic semantic sensing in a sensory network PR Florence, CD Sachs, KW Ryhorchuk US Patent 10,417,570, 2019 | 31 | 2019 |
| Nanomap: Fast, uncertainty-aware proximity queries with lazy search over local 3d data PR Florence, J Carter, J Ware, R Tedrake 2018 IEEE International Conference on Robotics and Automation (ICRA), 7631-7638, 2018 | 27 | 2018 |
| Self-supervised correspondence in visuomotor policy learning P Florence, L Manuelli, R Tedrake IEEE Robotics and Automation Letters 5 (2), 492-499, 2019 | 21 | 2019 |
| Surface dipole engineering for conducting polymers WE McClain, PR Florence, A Shu, A Kahn, J Schwartz Organic Electronics 14 (1), 411-415, 2013 | 16 | 2013 |
| Integrated perception and control at high speed PR Florence Massachusetts Institute of Technology, 2017 | 5 | 2017 |
| Reinforcement learning for autonomous driving obstacle avoidance using lidar L Manuelli, P Florence Massachusetts Institute of Technology, Tech. Rep, 2015 | 5 | 2015 |
| Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning L Manuelli, Y Li, P Florence, R Tedrake arXiv preprint arXiv:2009.05085, 2020 | 4 | 2020 |
| Dense visual learning for robot manipulation PR Florence Massachusetts Institute of Technology, 2020 | 4 | 2020 |
| iNeRF: Inverting Neural Radiance Fields for Pose Estimation L Yen-Chen, P Florence, JT Barron, A Rodriguez, P Isola, TY Lin arXiv preprint arXiv:2012.05877, 2020 | 3 | 2020 |
| 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, ... arXiv preprint arXiv:2012.03385, 2020 | 3 | 2020 |
| Transporter networks: Rearranging the visual world for robotic manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... arXiv preprint arXiv:2010.14406, 2020 | 3 | 2020 |
| Dynamic spatially-resolved lighting using composited lighting models CD Sachs, PR Florence US Patent 9,763,306, 2017 | 3 | 2017 |
| Systems and methods for probabilistic semantic sensing in a sensory network PR Florence, CD Sachs, KW Ryhorchuk US Patent App. 16/546,757, 2019 | | 2019 |
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstituteVerified email at mit.edu
