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Ryan S. Holt

dblp:81/3050 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 50% Reinforcement learning · 50%
Computer networks
1 paper
Vehicular, aerial and satellite networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
exploration
0.112008
Decentralized Perimeter Surveillance Using a Team of UAVs · IEEE Trans. Robotics 2008
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
multi-robot surveillance
0.112008
Decentralized Perimeter Surveillance Using a Team of UAVs · IEEE Trans. Robotics 2008
Vehicular, aerial and satellite networks
unmanned aerial vehicles
0.012008
Decentralized Perimeter Surveillance Using a Team of UAVs · IEEE Trans. Robotics 2008

Methods — techniques the papers use, named apart from their topics

decentralized coordination · 0.2
YearPublicationVenuePosition
2008 Decentralized Perimeter Surveillance Using a Team of UAVs
abstract
This paper poses the cooperative perimeter-surveillance problem and offers a decentralized solution that accounts for perimeter growth (expanding or contracting) and insertion/deletion of team members. By identifying and sharing the critical coordination information and by exploiting the known communication topology, only a small communication range is required for accurate performance. Simulation and hardware results are presented that demonstrate the applicability of the solution.
Derek B. Kingston, Randal W. Beard, Ryan S. Holt
IEEE Trans. Robotics3