Learning-based Swarm Control
Learning-Based Swarm Control is a control framework for heterogeneous robot swarms in which collective behaviors and coordination strategies are autonomously acquired and refined through machine learning techniques, distinguishing it from rule-based or predefined control paradigms by its reliance on data-driven adaptation and experience-based improvement.
29
Publications
1.2K
Citations
103
Authors
59
Institutions
Publications per year
2017–2026
23
Parents
29
1–5 of 29
103
2
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United States Naval Research Laboratory, United States
1 publications · 36 citations
1
h-index
University of Sciences and Technology Houari Boumediene, Algeria
1 publications · 23 citations
1
h-index
1–5 of 103
59
Hangzhou Dianzi University
Hangzhou, China
2 h-index
4 publications
92 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
133 citations

National University of Defense Technology
Changsha, China
2 h-index
4 publications
279 citations

Chosun University
Gwangju, South Korea
1 h-index
2 publications
86 citations
SpaceX (United States)
Hawthorne, United States
1 h-index
1 publications
13 citations

University of Padua
Padua, Italy
1 h-index
7 publications
196 citations

Shantou University
Shantou, China
1 h-index
3 publications
117 citations

University of Sciences and Technology Houari Boumediene
Algiers, Algeria
1 h-index
4 publications
92 citations
1–8 of 59
2 publications · 69 citations
2
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1 publications · 77 citations
1
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1 publications · 43 citations
1
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1 publications · 22 citations
1
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1 publications · 27 citations
1
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