Movement Primitive Learning
Movement Primitive Learning is a computational framework within the field of robot skill acquisition that formalizes the process of extracting and generalizing parameterized motor primitives from expert demonstrations, distinguishing itself by enabling flexible composition of basic movement elements into complex tasks through structured, reusable, and context-adaptive representations.
190
Publications
10.4K
Citations
427
Authors
176
Institutions
Publications per year
2017–2026
95
Parents
190
Learning of action through adaptive combination of motor primitives
Kurt A. Thoroughman, Reza Shadmehr · Nature · 2000 · 993 citations · Full text
Policy search for motor primitives in robotics
Jens Kober, Jan Peters · Machine Learning · 2010 · 438 citations · Full text
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176

Technische Universität Darmstadt
Darmstadt, Germany
19 h-index
85 publications
5.2K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
18 h-index
39 publications
3K citations
Jožef Stefan Institute
Ljubljana, Slovenia
16 h-index
53 publications
2.5K citations
Technical University of Munich
Munich, Germany
11 h-index
21 publications
1.1K citations
Max Planck Society
Munich, Germany
10 h-index
15 publications
1.5K citations
University of Southern California
Los Angeles, United States
10 h-index
31 publications
2.5K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
9 h-index
14 publications
777 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
7 h-index
19 publications
641 citations
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10 publications · 309 citations
10
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9 publications · 424 citations
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IJRR · 7 publications · 1K citations
7
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4 publications · 255 citations
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Repository · 4 publications · 120 citations
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