Danny Driess
Impact in
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- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
Papers in
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- Robot Manipulation and Learning 13
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- Robotic Path Planning Algorithms 10
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 3
- Co-authors
- Marc Toussaint (17 shared papers)Jung-Su Ha (9 shared papers)Ozgur S. Oguz (3 shared papers)Andreas Orthey (1 shared paper)Peter A. J. Englert (1 shared paper)Brian Ichter (3 shared papers)Daniel Hennes (2 shared papers)Syn Schmitt (4 shared papers)
- Journals
- The International Journal of Robotics Research (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (1 paper)Frontiers in Computational Neuroscience (1 paper)Frontiers in Robotics and AI (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Danny Driess
24 papers receiving 491 citations
Danny Driess's Hit Papers
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 218
- Computer Vision and Pattern Recognition 179
- Industrial and Manufacturing Engineering 49
- Artificial Intelligence 122
- Cognitive Neuroscience 63
Countries citing papers authored by Danny Driess
This map shows the geographic impact of Danny Driess'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 Danny Driess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Driess more than expected).
Fields of papers citing papers by Danny Driess
This network shows the impact of papers produced by Danny Driess. 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 Danny Driess. The network helps show where Danny Driess may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Driess, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Foundation models in robotics: Applications, challenges, and the future Hit paper breakdown → | 2024 | 114 |
| 2 | 2022 | 71 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 35 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 21 | |
| 8 | 2025 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2024 | 18 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 3 |
About Danny Driess
Danny Driess is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Human-Computer Interaction, having authored 24 papers that have together received 503 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (10 papers), Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Muscle activation and electromyography studies (3 papers), Human Pose and Action Recognition (3 papers), AI-based Problem Solving and Planning (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Control and Systems Engineering (218 citations), Computer Vision and Pattern Recognition (179 citations), Industrial and Manufacturing Engineering (49 citations), Artificial Intelligence (122 citations) and Cognitive Neuroscience (63 citations). Danny Driess has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz, Andreas Orthey, Peter A. J. Englert, Brian Ichter, Daniel Hennes, Syn Schmitt, Stephen Tian and Cewu Lu. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Frontiers in Computational Neuroscience and Frontiers in Robotics and AI.
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.