Michael Laskey
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Robot Manipulation and Learning 18
- Robotic Mechanisms and Dynamics 3
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- Reinforcement Learning in Robotics 12
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Ken Goldberg (21 shared papers)Jeffrey Mahler (7 shared papers)Florian T. Pokorny (4 shared papers)Melrose Roderick (1 shared paper)Brian Hou (1 shared paper)James Kuffner (1 shared paper)Torsten Kröger (1 shared paper)Mathieu Aubry (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (2 papers)eScholarship (California Digital Library) (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Michael Laskey
25 papers receiving 678 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 525
- Human-Computer Interaction 64
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 194
- Biomedical Engineering 260
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 226 | |
| 2 | 2020 | 69 | |
| 3 | 2016 | 55 | |
| 4 | 2014 | 51 | |
| 5 | 2022 | 46 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2022 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 11 | |
| 17 | 2017 | 10 | |
| 18 | Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. | 2018 | 10 |
| 19 | 2019 | 6 | |
| 20 | Iterative Noise Injection for Scalable Imitation Learning. | 2017 | 5 |
About Michael Laskey
Michael Laskey is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 26 papers that have together received 725 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (18 papers), Reinforcement Learning in Robotics (12 papers), Soft Robotics and Applications (6 papers), Adversarial Robustness in Machine Learning (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Control and Systems Engineering (525 citations), Human-Computer Interaction (64 citations), Computer Vision and Pattern Recognition (229 citations), Artificial Intelligence (194 citations) and Biomedical Engineering (260 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, Melrose Roderick, Brian Hou, James Kuffner, Torsten Kröger, Mathieu Aubry, Kai Kohlhoff and Anca D. Dragan. Their work appears in journals such as The International Journal of Robotics Research, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 International Conference on Robotics and Automation (ICRA), eScholarship (California Digital Library) and Zenodo (CERN European Organization for Nuclear 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.