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Pete Florence — most-cited papers & profile · Large Language Models
← authors
·
overview
Pete Florence
26
papers ·
1030
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PaLM-E: An Embodied Multimodal Language Model
2023 · 353 citations
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
2023 · 270 citations
Inner Monologue: Embodied Reasoning through Planning with Language Models
2022 · 207 citations
Transporter Networks: Rearranging the Visual World for Robotic Manipulation
2020 · 41 citations
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
2020 · 35 citations
Interactive Language: Talking to Robots in Real Time
2022 · 20 citations
Reinforcement Learning with Neural Radiance Fields
2022 · 15 citations
MIRA: Mental Imagery for Robotic Affordances
2022 · 13 citations
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
2023 · 13 citations
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
2020 · 12 citations
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
2023 · 12 citations
XIRL: Cross-embodiment Inverse Reinforcement Learning
2021 · 10 citations
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation
2024 · 8 citations
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
2023 · 5 citations
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
2023 · 5 citations
Top co-authors
Andy Zeng
· 1
Brian Ichter
· 1
Danny Driess
· 1
Dorsa Sadigh
· 1
Fei Xia
· 1
Kanishka Rao
· 1
Montserrat Gonzalez Arenas
· 1
Suvir Mirchandani
· 1
Topics
Manipulation
Control
Perception
Human-Robot Interaction
Sim-to-Real
Multi-Robot
Model-Based RL
Navigation
Offline RL
Meta-RL