Aggressive quadrotor flight through cluttered environments using mixed integer programming. - Benoit Landry; Robin Deits; Peter R. Florence; Russ Tedrake (ICRA, 2016)

Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps. - Peter R. Florence; John Carter; Russ Tedrake (WAFR, 2016)

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)

Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation. - Peter R. Florence; Lucas Manuelli; Russ Tedrake (CoRL, 2018)

NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search Over Local 3D Data. - Peter R. Florence; John Carter; Jake Ware; Russ Tedrake (ICRA, 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 (ICRA, 2018)

High-speed autonomous obstacle avoidance with pushbroom stereo. - Andrew J. Barry; Peter R. Florence; Russ Tedrake (J. Field Robotics, 2018)

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. - Jeong Joon Park; Peter R. Florence; Julian Straub; Richard A. Newcombe; Steven Lovegrove (CVPR, 2019)

KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation. - Lucas Manuelli; Wei Gao 026; Peter R. Florence; Russ Tedrake (ISRR, 2019)

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. - Lucas Manuelli; Yunzhu Li; Peter R. Florence; Russ Tedrake (CoRL, 2020)

Transporter Networks: Rearranging the Visual World for Robotic Manipulation. - Andy Zeng 001; Pete Florence; Jonathan Tompson; Stefan Welker; Jonathan Chien; Maria Attarian; Travis Armstrong; Ivan Krasin; Dan Duong; Vikas Sindhwani; Johnny Lee (CoRL, 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)

Self-Supervised Correspondence in Visuomotor Policy Learning. - Peter R. Florence; Lucas Manuelli; Russ Tedrake (IEEE Robotics Autom. Lett., 2020)

Implicit Behavioral Cloning. - Pete Florence; Corey Lynch; Andy Zeng 001; Oscar A. Ramirez; Ayzaan Wahid; Laura Downs; Adrian Wong; Johnny Lee; Igor Mordatch; Jonathan Tompson (CoRL, 2021)

XIRL: Cross-embodiment Inverse Reinforcement Learning. - Kevin Zakka; Andy Zeng 001; Pete Florence; Jonathan Tompson; Jeannette Bohg; Debidatta Dwibedi (CoRL, 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 001 (ICRA, 2021)

iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Alberto Rodriguez 003; Phillip Isola; Tsung-Yi Lin (IROS, 2021)

Inner Monologue: Embodied Reasoning through Planning with Language Models. - Wenlong Huang; Fei Xia 002; Ted Xiao; Harris Chan; Jacky Liang; Pete Florence; Andy Zeng 001; Jonathan Tompson; Igor Mordatch; Yevgen Chebotar; Pierre Sermanet; Tomas Jackson; et al. (CoRL, 2022)

MIRA: Mental Imagery for Robotic Affordances. - Yen-Chen Lin; Pete Florence; Andy Zeng 001; Jonathan T. Barron; Yilun Du; Wei-Chiu Ma; Anthony Simeonov; Alberto Rodriguez Garcia; Phillip Isola (CoRL, 2022)

VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects. - Youngsun Wi; Andy Zeng 001; Pete Florence; Nima Fazeli (CoRL, 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 001 (ICRA, 2022)

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Tsung-Yi Lin; Alberto Rodriguez 003; Phillip Isola (ICRA, 2022)

VIRDO: Visio-tactile Implicit Representations of Deformable Objects. - Youngsun Wi; Pete Florence; Andy Zeng 001; Nima Fazeli (ICRA, 2022)

Reinforcement Learning with Neural Radiance Fields. - Danny Driess; Ingmar Schubert; Pete Florence; Yunzhu Li; Marc Toussaint (NeurIPS, 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)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Adrian Wong; Stefan Welker; Krzysztof Choromanski; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; Pete Florence (CoRR, 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)

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)

Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition. - Huy Ha; Pete Florence; Shuran Song (CoRL, 2023)

Large Language Models as General Pattern Machines. - Suvir Mirchandani; Fei Xia 002; Pete Florence; Brian Ichter; Danny Driess; Montserrat Gonzalez Arenas; Kanishka Rao; Dorsa Sadigh; Andy Zeng 001 (CoRL, 2023)

CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation. - Youngsun Wi; Mark Van der Merwe; Pete Florence; Andy Zeng 001; Nima Fazeli (CoRL, 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 001; Pieter Abbeel (CoRL, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 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 (CVPR, 2023)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Maria Attarian; Brian Ichter; Krzysztof Marcin Choromanski; Adrian Wong; Stefan Welker; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; et al. (ICLR, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 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 (ICRA, 2023)

Code as Policies: Language Model Programs for Embodied Control. - Jacky Liang; Wenlong Huang; Fei Xia 002; Peng Xu 010; Karol Hausman; Brian Ichter; Pete Florence; Andy Zeng 001 (ICRA, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (NeurIPS, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (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 001; Pieter Abbeel (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Single-Level Differentiable Contact Simulation. - Simon Le Cleac'h; Mac Schwager; Zachary Manchester; Vikas Sindhwani; Pete Florence; Sumeet Singh (IEEE Robotics Autom. Lett., 2023)

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. - Zhuo Xu; Hao-Tien Lewis Chiang; Zipeng Fu; Mithun George Jacob; Tingnan Zhang; Tsang-Wei Edward Lee; Wenhao Yu 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

ALOHA Unleashed: A Simple Recipe for Robot Dexterity. - Tony Z. Zhao; Jonathan Tompson; Danny Driess; Pete Florence; Seyed Kamyar Seyed Ghasemipour; Chelsea Finn; Ayzaan Wahid (CoRL, 2024)

Video Language Planning. - Yilun Du; Sherry Yang 001; Pete Florence; Fei Xia 002; Ayzaan Wahid; Brian Ichter; Pierre Sermanet; Tianhe Yu; Pieter Abbeel; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Andy Zeng 001; et al. (ICLR, 2024)

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. - Pierre Sermanet; Tianli Ding; Jeffrey Zhao; Fei Xia 002; Debidatta Dwibedi; Keerthana Gopalakrishnan; Christine Chan; Gabriel Dulac-Arnold; Sharath Maddineni; Nikhil J. Joshi; Pete Florence; Wei Han 002; et al. (ICRA, 2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. - Boyuan Chen 003; Zhuo Xu; Sean Kirmani; Brian Ichter; Danny Driess; Pete Florence; Dorsa Sadigh; Leonidas J. Guibas; Fei Xia 002 (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; et al. (CoRR, 2024)