Brian Ichter
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- Robotic Path Planning Algorithms 8
- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 4
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- Robot Manipulation and Learning 9
- Aerospace Engineering top 5%
- Wind Energy Research and Development 5
- Robotics and Sensor-Based Localization 4
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics 6
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- Fluid Dynamics and Vibration Analysis 4
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- The International Journal of Robotics Research (2 papers)Wind Energy (2 papers)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brian Ichter
23 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 448
- Control and Systems Engineering 282
- Aerospace Engineering 256
- Artificial Intelligence 330
- Environmental Engineering 62
Countries citing papers authored by Brian Ichter
This map shows the geographic impact of Brian Ichter'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 Brian Ichter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ichter more than expected).
Fields of papers citing papers by Brian Ichter
This network shows the impact of papers produced by Brian Ichter. 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 Brian Ichter. The network helps show where Brian Ichter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Ichter, 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 | 2025 | 6 | |
| 2 | 2024 | 38 | |
| 3 | Foundation models in robotics: Applications, challenges, and the futurebreakdown → | 2024 | 73 |
| 4 | 2024 | 7 | |
| 5 | SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilitiesbreakdown → | 2024 | 56 |
| 6 | 2024 | 0 | |
| 7 | Code as Policies: Language Model Programs for Embodied Controlbreakdown → | 2023 | 295 |
| 8 | 2023 | 38 | |
| 9 | 2023 | 82 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 15 | |
| 13 | Neural Collision Clearance Estimator for Fast Robot Motion Planning. | 2019 | 7 |
| 14 | 2019 | 89 | |
| 15 | Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. | 2017 | 3 |
| 16 | 2017 | 73 | |
| 17 | 2017 | 50 | |
| 18 | 2015 | 30 | |
| 19 | 2015 | 6 | |
| 20 | 2012 | 10 |
About Brian Ichter
Brian Ichter is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Environmental Engineering, having authored 25 papers that have together received 935 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Robotic Path Planning Algorithms (8 papers), Multimodal Machine Learning Applications (7 papers), Reinforcement Learning in Robotics (6 papers), Wind Energy Research and Development (5 papers), Fluid Dynamics and Vibration Analysis (4 papers), Human Pose and Action Recognition (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (448 citations), Control and Systems Engineering (282 citations), Aerospace Engineering (256 citations), Artificial Intelligence (330 citations) and Environmental Engineering (62 citations). Brian Ichter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Marco Pavone, Fei Xia, Karol Hausman, Andy Zeng, Pete Florence, Jacky Liang, Wenlong Huang, Peng Xu, Lucas Janson and Eric Loth. Their work appears in journals such as The International Journal of Robotics Research, Wind Energy, IEEE Robotics and Automation Letters, 2022 International Conference on Robotics and Automation (ICRA) and arXiv (Cornell University).
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.