Pete Florence
Pete Florence
Senior Research Scientist, Google
Потвърден имейл адрес: google.com - Начална страница
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
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
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
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
kPAM: Keypoint Affordances for Category-level Robotic Manipulation
L Manuelli, W Gao, P Florence, R Tedrake
International Symposium of Robotic Research (ISRR), 2019
Implicit Behavioral Cloning
P Florence, C Lynch, A Zeng, OA Ramirez, A Wahid, L Downs, A Wong, ...
Conference on Robot Learning, 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
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
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
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
Self-Supervised Correspondence in Visuomotor Policy Learning
P Florence, L Manuelli, R Tedrake
IEEE Robotics and Automation Letters 5 (2), 492-499, 2019
High‐speed Autonomous Obstacle Avoidance with Pushbroom Stereo
AJ Barry, PR Florence, R Tedrake
Journal of Field Robotics 35 (1), 52-68, 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
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
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
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
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
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
Systems and methods for probabilistic semantic sensing in a sensory network
PR Florence, CD Sachs, KW Ryhorchuk
US Patent 10,417,570, 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
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