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Brent Beer

dblp:52/8399 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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 · 67% Motion planning and robot control · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › multi-robot control
distributed robot control
0.112010
A Distributed Method for Evaluating Properties of a Robot Formation · AAAI 2010
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.112010
A Distributed Method for Evaluating Properties of a Robot Formation · AAAI 2010
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
robot formation control
0.112010
A Distributed Method for Evaluating Properties of a Robot Formation · AAAI 2010

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

distributed evaluation of formation properties · 0.1
YearPublicationVenuePosition
2010 A Distributed Method for Evaluating Properties of a Robot Formation
abstract
As a robot formation increases in size or explores places where it is difficult for a human operator to interact, autonomous control becomes critical. We propose a distributed autonomous method for evaluating properties of multi-robot systems, and then discuss how this information can be applied to improve performance with respect to a given operation. We present this as an extension of our previous work on robot formations; however, the techniques described could be adapted to other multi-robot systems.
Brent Beer, Ross Mead, Jerry B. Weinberg
AAAI1