Distributed Multi-robot Learning
Distributed Multi-Robot Learning is a decentralized machine learning framework in which multiple robotic agents independently acquire and share knowledge through local interactions and coordinated learning protocols without relying on a centralized coordinator or global information access.
24
Publications
1K
Citations
63
Authors
31
Institutions
Publications per year
2017–2026
10
Variants
Decentralized Multi-robot Learning
Parents
24
Multi-robot learning with particle swarm optimization
Jim Pugh, Alcherio Martinoli · 2006 · 113 citations
1–5 of 24
63
École Polytechnique Fédérale de Lausanne, Switzerland
5 publications · 227 citations
5
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 63
31
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
10 publications
370 citations
University of Lisbon
Lisbon, Portugal
2 h-index
4 publications
156 citations

Stevens Institute of Technology
Hoboken, United States
2 h-index
4 publications
88 citations

Keio University
Tokyo, Japan
1 h-index
2 publications
28 citations
Southeast University
Dhaka, Bangladesh
1 h-index
1 publications
23 citations
Instituto de Telecomunicações
Lisbon, Portugal
1 h-index
2 publications
88 citations

Vaughn College of Aeronautics and Technology
New York, United States
1 h-index
3 publications
114 citations
Chongqing University of Posts and Telecommunications
Chongqing, China
1 h-index
3 publications
48 citations
1–8 of 31
2 publications · 115 citations
2
h-index
1 publications · 36 citations
1
h-index
1 publications · 22 citations
1
h-index
IJRR · 1 publications · 31 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5