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Stanton Wong

dblp:135/8242 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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
Robot manipulation · 67% Multi-agent systems · 33%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
distributed algorithms
0.212013
Deterministic distributed algorithm for self-reconfiguration of modular robots from arbitrary to straight chain configurations · ICRA 2013
Robotics › Robot manipulation
modular robot
0.212013
Deterministic distributed algorithm for self-reconfiguration of modular robots from arbitrary to straight chain configurations · ICRA 2013
Robotics › Robot manipulation › modular robot
self-reconfiguration
0.212013
Deterministic distributed algorithm for self-reconfiguration of modular robots from arbitrary to straight chain configurations · ICRA 2013

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

discrete event simulation · 0.2
YearPublicationVenuePosition
2013 Deterministic distributed algorithm for self-reconfiguration of modular robots from arbitrary to straight chain configurations
abstract
The problem addressed is the reconfiguration of a system of hexagonal metamorphic robots from an initial arbitrary shape configuration I, to a straight chain goal configuration, G. This is the first time a fully distributed deterministic algorithm has been written to achieve the parallel reconfiguration of a system of homogeneous modules from an initial arbitrary shape to a straight chain goal configuration. The contribution of this paper is an algorithm that uses no pre-processing or message passing to accomplish reconfiguration. The algorithm eliminates the possibility of module collision by assuming modules have the capability to detect another module at a distance of one cell away on each of their six sides. The algorithm is successful as long as: the system starts in an initial configuration that satisfies admissibility requirements, the goal cells are known to all modules, and if every module is equipped with sensors to determine if the cell adjacent to and in the same direction as a neighboring empty cell is occupied. A discrete-event simulator tests the algorithm.
Stanton Wong, Jennifer Walter
ICRA1