Peter Pástor
- Control and Systems Engineering top 0.2%
- Robot Manipulation and Learning 23
- Robotic Mechanisms and Dynamics 5
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics 10
- Biomedical Engineering top 1%
- Robotic Locomotion and Control 9
- Prosthetics and Rehabilitation Robotics 6
- Muscle activation and electromyography studies 6
- Soft Robotics and Applications 3
- Human-Computer Interaction top 2%
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- Motor Control and Adaptation 3
- Co-authors
- Mrinal KalakrishnanStefan SchaalH. HoffmannAuke Jan IjspeertJun NakanishiLudovic RighettiEvangelos A. TheodorouSachin Chitta
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- The International Journal of Robotics Research (2 papers)Autonomous Robots (2 papers)Neural Computation (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Peter Pástor
30 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 3.1k
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 1.3k
- Biomedical Engineering 1.8k
- Human-Computer Interaction 158
Countries citing papers authored by Peter Pástor
This map shows the geographic impact of Peter Pástor'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 Peter Pástor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pástor more than expected).
Fields of papers citing papers by Peter Pástor
This network shows the impact of papers produced by Peter Pástor. 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 Peter Pástor. The network helps show where Peter Pástor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Pástor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 10 | |
| 2 | QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation | 2018 | 71 |
| 3 | End-to-End Learning of Semantic Grasping | 2017 | 13 |
| 4 | 2014 | 79 | |
| 5 | Experiments with a hierarchical inverse dynamics controller on a torque-controlled humanoid | 2013 | 8 |
| 6 | 2013 | 21 | |
| 7 | 2013 | 41 | |
| 8 | 2013 | 71 | |
| 9 | 2013 | 82 | |
| 10 | 2013 | 48 | |
| 11 | 2012 | 77 | |
| 12 | Learning force control policies for compliant robotic manipulation | 2012 | 10 |
| 13 | 2012 | 65 | |
| 14 | 2011 | 103 | |
| 15 | 2011 | 144 | |
| 16 | 2011 | 27 | |
| 17 | Learning and generalization of motor skills by learning from demonstrationbreakdown → | 2009 | 466 |
| 18 | 2009 | 23 | |
| 19 | 2009 | 123 | |
| 20 | 2009 | 206 |
About Peter Pástor
Peter Pástor is a scholar working on Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, Orthopedics and Sports Medicine and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 4.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Reinforcement Learning in Robotics (10 papers), Robotic Locomotion and Control (9 papers), Prosthetics and Rehabilitation Robotics (6 papers), Muscle activation and electromyography studies (6 papers), Robotic Mechanisms and Dynamics (5 papers), Motor Control and Adaptation (3 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (3.1k citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.3k citations), Biomedical Engineering (1.8k citations) and Human-Computer Interaction (158 citations). Peter Pástor has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Mrinal Kalakrishnan, Stefan Schaal, Stefan Schaal, H. Hoffmann, Auke Jan Ijspeert, Jun Nakanishi, Ludovic Righetti, Evangelos A. Theodorou, Sachin Chitta and Tamim Asfour. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots, Neural Computation, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems and arXiv (Cornell University).
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.