Arunkumar Byravan
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
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- Robot Manipulation and Learning 4
- Robotic Mechanisms and Dynamics 1
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- Advanced Vision and Imaging 2
- Robotic Path Planning Algorithms 2
- Human Pose and Action Recognition 2
- Co-authors
- Dieter Fox (4 shared papers)Byron Boots (3 shared papers)Siddhartha S Srinivasa (1 shared paper)Franziska Meier (1 shared paper)Steven Bohez (1 shared paper)Jan Humplik (2 shared papers)Tuomas Haarnoja (2 shared papers)Fereshteh Sadeghi (1 shared paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Arunkumar Byravan
6 papers receiving 101 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 71
- Computer Graphics and Computer-Aided Design 7
- Control and Systems Engineering 45
- Artificial Intelligence 38
- Aerospace Engineering 28
Countries citing papers authored by Arunkumar Byravan
This map shows the geographic impact of Arunkumar Byravan'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 Arunkumar Byravan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar Byravan more than expected).
Fields of papers citing papers by Arunkumar Byravan
This network shows the impact of papers produced by Arunkumar Byravan. 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 Arunkumar Byravan. The network helps show where Arunkumar Byravan may publish in the future.
Co-authors
The 22 scholars most cited alongside Arunkumar Byravan, 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 | 2023 | 28 | |
| 2 | 2014 | 27 | |
| 3 | 2018 | 18 | |
| 4 | 2014 | 17 | |
| 5 | Graph-based inverse optimal control for robot manipulation | 2015 | 13 |
| 6 | Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion | 2021 | 2 |
About Arunkumar Byravan
Arunkumar Byravan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Aerospace Engineering, having authored 6 papers that have together received 105 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (2 papers), Advanced Vision and Imaging (2 papers), Robotic Path Planning Algorithms (2 papers), Human Pose and Action Recognition (2 papers), Robotic Mechanisms and Dynamics (1 paper), Cell Image Analysis Techniques (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (71 citations), Computer Graphics and Computer-Aided Design (7 citations), Control and Systems Engineering (45 citations), Artificial Intelligence (38 citations) and Aerospace Engineering (28 citations). Arunkumar Byravan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dieter Fox, Byron Boots, Siddhartha S Srinivasa, Franziska Meier, Steven Bohez, Jan Humplik, Tuomas Haarnoja, Fereshteh Sadeghi, Mathew Monfort and Nicolas Heess.
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.