| 2020 | CoRL | Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. | Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake |
| 2019 | CVPR | DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. | Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove |
| 2019 | ISRR | KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation. | Lucas Manuelli, Wei Gao, Peter R. Florence, Russ Tedrake |
| 2018 | CoRL | Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation. | Peter R. Florence, Lucas Manuelli, Russ Tedrake |
| 2018 | ICRA | NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search Over Local 3D Data. | Peter R. Florence, John Carter, Jake Ware, Russ Tedrake |
| 2018 | ICRA | Label Fusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes. | Pat Marion, Peter R. Florence, Lucas Manuelli, Russ Tedrake |
| 2016 | ICRA | Aggressive quadrotor flight through cluttered environments using mixed integer programming. | Benoit Landry, Robin Deits, Peter R. Florence, Russ Tedrake |
| 2016 | WAFR | Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps. | Peter R. Florence, John Carter, Russ Tedrake |