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Derek Goerke

dblp:28/2244 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
Legged, aerial and field robots · 33% Multi-agent systems · 33% Robot manipulation · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics		 0.012003
Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
heterogeneous robot teams		 0.012003
Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003
Robotics › Robot manipulation › robot design
robot platform design		 0.012003
Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003

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

heterogeneous sensing · 0.0
YearPublicationVenuePosition
2003 Heterogeneous implementation of an adaptive robotic sensing team
abstract
When designing a mobile robotic team, an engineer is faced with many design choices. This paper discusses the design of a team consisting of two different models of robots with significantly different sensing and control capabilities intended to accomplish a similar task. Two new robotic platforms, the COTS Scout and the MegaScout are described along with their respective design considerations.
Bradley Kratochvil, Ian T. Burt, Andrew Drenner, Derek Goerke, Bennett Jackson, Colin McMillen, Christopher Olson, Nikolaos Papanikolopoulos, Adam Pfeifer, Sascha Stoeter, Kristen Stubbs, David Waletzko
 ICRA4