Learning-based Impedance Control
Learning-Based Impedance Control is a control framework within impedance control that employs machine learning techniques to autonomously adapt impedance parameters through interaction data, distinguishing it from traditional model-based or fixed-parameter approaches by its reliance on learned, data-driven representations of optimal impedance modulation.
87
Publications
6.7K
Citations
261
Authors
137
Institutions
Publications per year
2017–2026
49
Parents
87
The central nervous system stabilizes unstable dynamics by learning optimal impedance
Etienne Burdet, Rieko Osu, David W. Franklin et al. · Nature · 2001 · 1.1K citations
Learning variable impedance control
Jonas Buchli, Freek Stulp, Evangelos A. Theodorou et al. · The International Journal of Robotics Research · 2011 · 329 citations · Full text
1–5 of 87
261
12
h-index
11
h-index
6
h-index
4
h-index
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
4 publications · 474 citations
4
h-index
1–5 of 261
137
National University of Singapore
Singapore, Singapore
9 h-index
21 publications
2.2K citations
University of the West of England
Bristol, United Kingdom
8 h-index
11 publications
690 citations
Bristol Robotics Laboratory
Bristol, United Kingdom
8 h-index
11 publications
690 citations
University of Sussex
Brighton, United Kingdom
6 h-index
8 publications
264 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
692 citations

Italian Institute of Technology
Genoa, Italy
5 h-index
10 publications
824 citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
8 publications
1.2K citations
Shandong Institute of Automation
Jinan, China
5 h-index
13 publications
605 citations
1–8 of 137
4 publications · 260 citations
4
h-index
4 publications · 194 citations
4
h-index
3 publications · 166 citations
3
h-index
3 publications · 185 citations
3
h-index
3 publications · 96 citations
3
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1–5