Freek Stulp
Impact in
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
Papers in
-
- Reinforcement Learning in Robotics 49
- AI-based Problem Solving and Planning 23
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- Robot Manipulation and Learning 41
- Robotics and Automated Systems 6
- Co-authors
- Stefan Schaal (16 shared papers)Evangelos A. Theodorou (14 shared papers)Olivier Sigaud (9 shared papers)Jonas Buchli (9 shared papers)Michael Beetz (24 shared papers)Alin Albu‐Schäffer (17 shared papers)Gennaro Raiola (6 shared papers)Daniel Sebastian Leidner (12 shared papers)
- Journals
- IEEE Robotics and Automation Letters (14 papers)Autonomous Robots (4 papers)Robotics and Autonomous Systems (2 papers)Neural Networks (2 papers)Experimental Brain Research (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Freek Stulp
122 papers receiving 2.8k citations
Freek Stulp's Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 1.3k
- Artificial Intelligence 1.1k
- Cognitive Neuroscience 216
- Industrial and Manufacturing Engineering 98
- Biomedical Engineering 321
Countries citing papers authored by Freek Stulp
This map shows the geographic impact of Freek Stulp'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 Freek Stulp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Freek Stulp more than expected).
Fields of papers citing papers by Freek Stulp
This network shows the impact of papers produced by Freek Stulp. 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 Freek Stulp. The network helps show where Freek Stulp may publish in the future.
Co-authors
The 25 scholars most cited alongside Freek Stulp, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 300 | |
| 2 | 2015 | 175 | |
| 3 | 2012 | 165 | |
| 4 | 2019 | 124 | |
| 5 | 2013 | 104 | |
| 6 | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 Hit paper breakdown → | 2024 | 94 |
| 7 | 2013 | 65 | |
| 8 | 2011 | 63 | |
| 9 | 2011 | 61 | |
| 10 | 2010 | 60 | |
| 11 | 2012 | 58 | |
| 12 | 2011 | 56 | |
| 13 | 2012 | 54 | |
| 14 | Policy Improvement Methods: Between Black-Box Optimization and Episodic Reinforcement Learning | 2012 | 51 |
| 15 | 2019 | 49 | |
| 16 | 2009 | 48 | |
| 17 | 2008 | 47 | |
| 18 | 2019 | 46 | |
| 19 | 2019 | 46 | |
| 20 | 2010 | 43 |
About Freek Stulp
Freek Stulp is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 130 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (49 papers), Robot Manipulation and Learning (41 papers), AI-based Problem Solving and Planning (23 papers), Motor Control and Adaptation (11 papers), Prosthetics and Rehabilitation Robotics (8 papers), Social Robot Interaction and HRI (7 papers), Robotics and Sensor-Based Localization (6 papers) and Robotics and Automated Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Artificial Intelligence (1.1k citations), Cognitive Neuroscience (216 citations), Industrial and Manufacturing Engineering (98 citations) and Biomedical Engineering (321 citations). Freek Stulp has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Stefan Schaal, Evangelos A. Theodorou, Olivier Sigaud, Jonas Buchli, Michael Beetz, Alin Albu‐Schäffer, Gennaro Raiola, Daniel Sebastian Leidner, Sylvain Calinon and Vassilis Vassiliades. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Robotics and Autonomous Systems, Neural Networks and Experimental Brain Research.
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.