Pete Florence
Pete Florence
Senior Research Scientist, Google DeepMind
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
Implicit Behavioral Cloning
P Florence, C Lynch, A Zeng, OA Ramirez, A Wahid, L Downs, A Wong, ...
Conference on Robot Learning, 2021
kPAM: Keypoint Affordances for Category-level Robotic Manipulation
L Manuelli, W Gao, P Florence, R Tedrake
International Symposium of Robotic Research (ISRR), 2019
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
Self-Supervised Correspondence in Visuomotor Policy Learning
P Florence, L Manuelli, R Tedrake
IEEE Robotics and Automation Letters 5 (2), 492-499, 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
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
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
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
High‐speed Autonomous Obstacle Avoidance with Pushbroom Stereo
AJ Barry, PR Florence, R Tedrake
Journal of Field Robotics 35 (1), 52-68, 2018
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
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
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