Michael Laskey
Impact in
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Robotics and Automated Systems
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
Papers in
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- Robot Manipulation and Learning 20
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- Reinforcement Learning in Robotics 14
- Co-authors
- Ken Y. Goldberg (24 shared papers)Jeffrey Mahler (7 shared papers)Jacky Liang (2 shared papers)Sherdil Niyaz (1 shared paper)Xinyu Liu (1 shared paper)Florian T. Pokorny (4 shared papers)Mathieu Aubry (1 shared paper)Melrose Roderick (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)The International Journal of Robotics Research (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (7 papers)arXiv (Cornell University) (1 paper)2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (7 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Michael Laskey
29 papers receiving 1.9k citations
Michael Laskey's Hit Papers
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 1.5k
- Artificial Intelligence 327
- Computer Vision and Pattern Recognition 211
- Computational Mechanics 80
- Automotive Engineering 26
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 | Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics Hit paper breakdown → | 2017 | 960 |
| 2 | Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards Hit paper breakdown → | 2016 | 270 |
| 3 | 2020 | 76 | |
| 4 | 2014 | 62 | |
| 5 | 2022 | 61 | |
| 6 | 2015 | 56 | |
| 7 | 2016 | 55 | |
| 8 | 2019 | 53 | |
| 9 | 2017 | 45 | |
| 10 | 2022 | 45 | |
| 11 | 2022 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2015 | 30 | |
| 14 | 2017 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2021 | 14 | |
| 20 | 2023 | 14 |
About Michael Laskey
Michael Laskey is a scholar working on Control and Systems Engineering, Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 29 papers that have together received 2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Reinforcement Learning in Robotics (14 papers), Teleoperation and Haptic Systems (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (1 paper), 3D Shape Modeling and Analysis (1 paper), Advanced Neural Network Applications (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Artificial Intelligence (327 citations), Computer Vision and Pattern Recognition (211 citations), Computational Mechanics (80 citations) and Automotive Engineering (26 citations). Michael Laskey has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ken Y. Goldberg, Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Xinyu Liu, Florian T. Pokorny, Mathieu Aubry, Melrose Roderick, Brian Hou and Torsten Kröger. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, arXiv (Cornell University) and 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
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.