Michael Danielczuk
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
Papers in
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- Robot Manipulation and Learning 21
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- Soft Robotics and Applications 11
- Muscle activation and electromyography studies 3
- Co-authors
- Ken Goldberg (25 shared papers)Jeffrey Mahler (8 shared papers)Matthew Matl (3 shared papers)Vishal Satish (5 shared papers)Stephen McKinley (1 shared paper)Andrew C. Li (3 shared papers)Jeffrey Ichnowski (12 shared papers)Andrew Lee (2 shared papers)
- Journals
- Science Robotics (1 paper)2022 International Conference on Robotics and Automation (ICRA) (3 papers)2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Michael Danielczuk
26 papers receiving 749 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 582
- Computer Vision and Pattern Recognition 239
- Human-Computer Interaction 61
- Industrial and Manufacturing Engineering 84
- Biomedical Engineering 305
Countries citing papers authored by Michael Danielczuk
This map shows the geographic impact of Michael Danielczuk'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 Michael Danielczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Danielczuk more than expected).
Fields of papers citing papers by Michael Danielczuk
This network shows the impact of papers produced by Michael Danielczuk. 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 Michael Danielczuk. The network helps show where Michael Danielczuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Danielczuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning ambidextrous robot grasping policies Hit paper breakdown → | 2019 | 371 |
| 2 | 2019 | 120 | |
| 3 | 2018 | 40 | |
| 4 | 2020 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2023 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2021 | 14 | |
| 12 | Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. | 2018 | 10 |
| 13 | 2022 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 5 |
About Michael Danielczuk
Michael Danielczuk is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Artificial Intelligence, having authored 26 papers that have together received 768 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (21 papers), Soft Robotics and Applications (11 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (5 papers), Robotics and Sensor-Based Localization (4 papers), Reinforcement Learning in Robotics (4 papers), Teleoperation and Haptic Systems (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Control and Systems Engineering (582 citations), Computer Vision and Pattern Recognition (239 citations), Human-Computer Interaction (61 citations), Industrial and Manufacturing Engineering (84 citations) and Biomedical Engineering (305 citations). Michael Danielczuk has collaborated with scholars based in United States and Germany. Frequent co-authors include Ken Goldberg, Jeffrey Mahler, Matthew Matl, Vishal Satish, Stephen McKinley, Andrew C. Li, Jeffrey Ichnowski, Andrew Lee, Saurabh Gupta and Anelia Angelova. Their work appears in journals such as Science Robotics, 2022 International Conference on Robotics and Automation (ICRA), 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 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.