Michael Laskey
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
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- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
Papers in
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- Robot Manipulation and Learning 19
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- Reinforcement Learning in Robotics 12
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
- Machine Learning and Algorithms 3
- Co-authors
- Ken Goldberg (23 shared papers)Jeffrey Mahler (7 shared papers)Florian T. Pokorny (4 shared papers)Brian Hou (1 shared paper)James Kuffner (1 shared paper)Kai Kohlhoff (1 shared paper)Melrose Roderick (1 shared paper)Mathieu Aubry (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)Springer tracts in advanced robotics (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)eScholarship (California Digital Library) (2 papers)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Michael Laskey
29 papers receiving 826 citations
Peers
Comparison fields: 5 of 67
- Control and Systems Engineering 611
- Computer Vision and Pattern Recognition 295
- Human-Computer Interaction 71
- Artificial Intelligence 238
- Biomedical Engineering 291
Countries citing papers authored by Michael Laskey
This map shows the geographic impact of Michael Laskey'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 Laskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Laskey more than expected).
Fields of papers citing papers by Michael Laskey
This network shows the impact of papers produced by Michael Laskey. 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 Laskey. The network helps show where Michael Laskey may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Laskey, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 241 | |
| 2 | 2020 | 69 | |
| 3 | 2016 | 58 | |
| 4 | 2022 | 55 | |
| 5 | 2014 | 55 | |
| 6 | 2015 | 49 | |
| 7 | 2017 | 39 | |
| 8 | 2022 | 39 | |
| 9 | 2016 | 30 | |
| 10 | 2017 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2017 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2020 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2021 | 12 |
About Michael Laskey
Michael Laskey is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 29 papers that have together received 877 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (12 papers), Soft Robotics and Applications (6 papers), Robotics and Sensor-Based Localization (4 papers), Adversarial Robustness in Machine Learning (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Control and Systems Engineering (611 citations), Computer Vision and Pattern Recognition (295 citations), Human-Computer Interaction (71 citations), Artificial Intelligence (238 citations) and Biomedical Engineering (291 citations). Michael Laskey has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Ken Goldberg, Jeffrey Mahler, Florian T. Pokorny, Brian Hou, James Kuffner, Kai Kohlhoff, Melrose Roderick, Mathieu Aubry, Torsten Kröger and Anca D. Dragan. Their work appears in journals such as The International Journal of Robotics Research, Springer tracts in advanced robotics, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Zenodo (CERN European Organization for Nuclear Research) and eScholarship (California Digital Library).
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.