Pete Florence
Impact in
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- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
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- Robotic Path Planning Algorithms 5
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 3
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- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 3
- Co-authors
- Russ Tedrake (8 shared papers)Andy Zeng (4 shared papers)Tsung-Yi Lin (2 shared papers)Yen-Chen Lin (2 shared papers)Jonathan T. Barron (2 shared papers)Phillip Isola (2 shared papers)Lucas Manuelli (5 shared papers)Alberto Rodríguez (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Journal of Field Robotics (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (3 papers)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Pete Florence
19 papers receiving 1.2k citations
Pete Florence's Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 716
- Computer Graphics and Computer-Aided Design 91
- Control and Systems Engineering 445
- Aerospace Engineering 368
- Geology 58
Countries citing papers authored by Pete Florence
This map shows the geographic impact of Pete Florence's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pete Florence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pete Florence more than expected).
Fields of papers citing papers by Pete Florence
This network shows the impact of papers produced by Pete Florence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pete Florence. The network helps show where Pete Florence may publish in the future.
Co-authors
The 25 scholars most cited alongside Pete Florence, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Code as Policies: Language Model Programs for Embodied Control Hit paper breakdown → | 2023 | 329 |
| 2 | iNeRF: Inverting Neural Radiance Fields for Pose Estimation Hit paper breakdown → | 2021 | 269 |
| 3 | 2021 | 97 | |
| 4 | 2018 | 73 | |
| 5 | 2022 | 68 | |
| 6 | 2016 | 64 | |
| 7 | 2022 | 62 | |
| 8 | 2017 | 60 | |
| 9 | Interactive Language: Talking to Robots in Real Time Hit paper breakdown → | 2024 | 52 |
| 10 | Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation | 2018 | 37 |
| 11 | 2020 | 35 | |
| 12 | 2023 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 9 | |
| 16 | Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning | 2020 | 6 |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes. | 2017 | 3 |
About Pete Florence
Pete Florence is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Biomedical Engineering, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Robot Manipulation and Learning (7 papers), Robotic Path Planning Algorithms (5 papers), Soft Robotics and Applications (3 papers), Robotic Mechanisms and Dynamics (3 papers), Reinforcement Learning in Robotics (3 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (716 citations), Computer Graphics and Computer-Aided Design (91 citations), Control and Systems Engineering (445 citations), Aerospace Engineering (368 citations) and Geology (58 citations). Pete Florence has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Russ Tedrake, Andy Zeng, Tsung-Yi Lin, Yen-Chen Lin, Jonathan T. Barron, Phillip Isola, Lucas Manuelli, Alberto Rodríguez, Karol Hausman and Wenlong Huang. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 International Conference on Robotics and Automation (ICRA) and DSpace@MIT (Massachusetts Institute of Technology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.