Peter R. Florence

According to our database, Peter R. Florence authored at least 49 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ALOHA Unleashed: A Simple Recipe for Robot Dexterity.

Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Kamyar Ghasemipour, Chelsea Finn, Ayzaan Wahid

CoRR, 2024

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan

CoRR, 2024

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation.

ALOHA 2 Team, Jorge Aldaco, Travis Armstrong, Robert Baruch, Jeff Bingham, Sanky Chan, Kenneth Draper, Debidatta Dwibedi, Chelsea Finn, Pete Florence, Spencer Goodrich, Wayne Gramlich, Torr Hage, Alexander Herzog, Jonathan Hoech, Thinh Nguyen, Ian Storz, Baruch Tabanpour, Leila Takayama, Jonathan Tompson, Ayzaan Wahid, Ted Wahrburg, Sichun Xu, Sergey Yaroshenko, Kevin Zakka, Tony Z. Zhao

CoRR, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.

Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia

CoRR, 2024

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Video Language Planning.

Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Single-Level Differentiable Contact Simulation.

Simon Le Cleac'h, Mac Schwager, Zachary Manchester, Vikas Sindhwani, Pete Florence, Sumeet Singh

IEEE Robotics Autom. Lett., July, 2023

Towards Generalist Biomedical AI.

Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.

Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control.

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Code as Policies: Language Model Programs for Embodied Control.

Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.

Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PaLM-E: An Embodied Multimodal Language Model.

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

Proceedings of the International Conference on Machine Learning, 2023

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis.

Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

Proceedings of the Conference on Robot Learning, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.

Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2023

CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation.

Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli

Proceedings of the Conference on Robot Learning, 2023

Large Language Models as General Pattern Machines.

Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng

Proceedings of the Conference on Robot Learning, 2023

Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition.

Huy Ha, Pete Florence, Shuran Song

Proceedings of the Conference on Robot Learning, 2023

2022

Trajectory Optimization with Optimization-Based Dynamics.

Taylor A. Howell, Simon Le Cleac'h, Sumeet Singh, Peter R. Florence, Zachary Manchester, Vikas Sindhwani

IEEE Robotics Autom. Lett., 2022

Interactive Language: Talking to Robots in Real Time.

Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence

CoRR, 2022

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence

CoRR, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola

CoRR, 2022

Reinforcement Learning with Neural Radiance Fields.

Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VIRDO: Visio-tactile Implicit Representations of Deformable Objects.

Youngsun Wi, Pete Florence, Andy Zeng, Nima Fazeli

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning.

Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects.

Youngsun Wi, Andy Zeng, Pete Florence, Nima Fazeli

Proceedings of the Conference on Robot Learning, 2022

MIRA: Mental Imagery for Robotic Affordances.

Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

Inner Monologue: Embodied Reasoning through Planning with Language Models.

Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter

Proceedings of the Conference on Robot Learning, 2022

2021

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks.

Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

XIRL: Cross-embodiment Inverse Reinforcement Learning.

Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Implicit Behavioral Cloning.

Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Self-Supervised Correspondence in Visuomotor Policy Learning.

Peter R. Florence, Lucas Manuelli, Russ Tedrake

IEEE Robotics Autom. Lett., 2020

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin

CoRR, 2020

Transporter Networks: Rearranging the Visual World for Robotic Manipulation.

Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee

Proceedings of the 4th Conference on Robot Learning, 2020

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.

Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake

Proceedings of the 4th Conference on Robot Learning, 2020

2019

KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation.

Lucas Manuelli, Wei Gao, Peter R. Florence, Russ Tedrake

Proceedings of the Robotics Research, 2019

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation.

Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

High-speed autonomous obstacle avoidance with pushbroom stereo.

Andrew J. Barry, Peter R. Florence, Russ Tedrake

J. Field Robotics, 2018

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

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search Over Local 3D Data.

Peter R. Florence, John Carter, Jake Ware, Russ Tedrake

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation.

Peter R. Florence, Lucas Manuelli, Russ Tedrake

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes.

Pat Marion, Peter R. Florence, Lucas Manuelli, Russ Tedrake

CoRR, 2017

2016

Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps.

Peter R. Florence, John Carter, Russ Tedrake

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Aggressive quadrotor flight through cluttered environments using mixed integer programming.

Benoit Landry, Robin Deits, Peter R. Florence, Russ Tedrake

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016