Motion Primitive Planning
Motion Primitive Planning is a motion planning methodology that generates robot trajectories by composing predefined, parameterized motion segments, distinguished from other planning approaches through its reliance on a library of feasible, low-level dynamic actions to efficiently navigate complex environments.
39
Publications
2.2K
Citations
151
Authors
63
Institutions
Publications per year
2017–2026
20
39
Policy search for motor primitives in robotics
Jens Kober, Jan Peters · Machine Learning · 2010 · 438 citations · Full text
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University of California, Santa Barbara, United States
2 publications · 196 citations
2
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1–5 of 151
63
Carnegie Mellon University
Pittsburgh, United States
5 h-index
14 publications
654 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
8 publications
872 citations

Aarhus University
Aarhus, Denmark
3 h-index
3 publications
55 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
70 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
190 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
98 citations
Stanford University
Stanford, United States
2 h-index
6 publications
111 citations
Northwestern University
Evanston, United States
2 h-index
3 publications
194 citations
1–8 of 63
3 publications · 125 citations
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3 publications · 193 citations
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2 publications · 440 citations
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2 publications · 81 citations
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1 publications · 111 citations
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