Adaptive Swarm Behavior
Adaptive Swarm Behavior is a computational coordination strategy within bio-inspired swarm design that enables a population of decentralized, autonomous agents to dynamically modify their interaction rules and collective dynamics in response to environmental changes or task requirements through local sensing and self-organization.
136
Publications
6.4K
Citations
427
Authors
216
Institutions
Publications per year
2017–2026
46
Parents
136
Swarms, Phase Transitions, and Collective Intelligence
Mark M. Millonas · ArXiv.org · 1993 · 273 citations · Full text
Ivica Slavkov, Daniel Carrillo-Zapata, Noemí Carranza et al. · Science Robotics · 2018 · 206 citations · Full text
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216

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
629 citations
Wenzhou University
Wenzhou, China
4 h-index
12 publications
381 citations

Islamic Azad University, Tehran
Tehran, Iran
3 h-index
3 publications
102 citations

University of Pretoria
Pretoria, South Africa
3 h-index
5 publications
264 citations
Bristol Robotics Laboratory
Bristol, United Kingdom
3 h-index
6 publications
832 citations
University of the West of England
Bristol, United Kingdom
3 h-index
5 publications
626 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
7 publications
542 citations
The University of Osaka
Osaka, Japan
2 h-index
9 publications
614 citations
1–8 of 216
6 publications · 475 citations
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3 publications · 209 citations
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3 publications · 82 citations
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IJRR · 2 publications · 151 citations
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2 publications · 155 citations
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