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Miguel Schneider-Fontán

dblp:39/5774 · DBLP profile ↗
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3ranked-venue papers
1as 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 · 1Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.011998
Territorial multi-robot task division · IEEE Trans. Robotics Autom. 1998
Knowledge, reasoning and agents › Multi-agent systems › swarm robotics
foraging
0.011998
Territorial multi-robot task division · IEEE Trans. Robotics Autom. 1998

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

territorial approach · 0.0behavior-based control · 0.0
YearPublicationVenuePosition
2003 DEMOS Tools for Online Discussion and Decision Making
Rolf Luehrs, Juan Pavón, Miguel Schneider-Fontán
ICWE3
1998 Territorial multi-robot task division
abstract
This work demonstrates the application of the distributed behavior-based approach to generating a multirobot controller for a group of mobile robots performing a clean-up and collection task. The paper studies a territorial approach to the task in which the robots are assigned individual territories that can be dynamically resized if one of the robots malfunctions, permitting the completion of the task. The described controller is implemented on a group of four IS Robotics R2e mobile robots. Using a collection of experimental robot data, we empirically derive and demonstrate most effective foraging in our domain, and show the decline of performance of the space division strategy with increased group size.
Miguel Schneider-Fontán, Maja J. Mataric
IEEE Trans. Robotics Autom.1
1997 The Spirit of Bolivia: Complex Behavior Through Minimal Control
Barry Brian Werger, Pablo Funes, Miguel Schneider-Fontán, Randy Sargent, Carl Witty, Tim Witty
RoboCup3