Machine Learning Control Algorithms
Machine Learning Control Algorithms is a computational control methodology within prosthetic control systems that employs data-driven learning techniques to autonomously adapt and optimize control policies based on sensory feedback, distinguishing itself from traditional model-based or rule-driven approaches by its reliance on iterative learning from experience.
371
Publications
15.6K
Citations
1.3K
Authors
497
Institutions
Publications per year
2017–2026
266
Parents
371
1–5 of 371
1.3K
4
h-index
4
h-index
University of California, Los Angeles, United States
4 publications · 121 citations
4
h-index
4
h-index
3
h-index
1–5 of 1.3K
497

University of Alberta
Edmonton, Canada
8 h-index
22 publications
1.3K citations

Imperial College London
London, United Kingdom
6 h-index
17 publications
527 citations
Aalborg University
Aalborg, Denmark
6 h-index
21 publications
724 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
20 publications
1.5K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
5 h-index
13 publications
623 citations
RWTH Aachen University
Aachen, Germany
4 h-index
14 publications
262 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
5 publications
130 citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
7 publications
201 citations
1–8 of 497
10 publications · 390 citations
10
h-index
6 publications · 125 citations
7
h-index
6 publications · 198 citations
6
h-index
6 publications · 325 citations
6
h-index
4 publications · 201 citations
4
h-index
1–5