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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00223329%21RIV15-MSM-21230___
rdf:type
skos:Concept n14:Vysledek
rdfs:seeAlso
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6819298
dcterms:description
The field of reconfigurable swarms of modular robots has achieved a current status of performance that allows applications in diverse fields that are characterized by human support (e.g. exploratory and rescue tasks) or even in human-less environments. The main goal of the EC project REPLICATOR [1] is the development and deployment of a heterogeneous swarm of modular robots that are able to switch autonomously from a swarm of robots, into different organism forms, to reconfigure hese forms, and finally to revert to the original swarm mode [2]. To achieve these goals three different types of robot modules have been developed and an extensive suite of embodied distributed cognition methods implemented [3]. Hereby the methodological key aspects address principles of self-organization. In order to tackle our ambitious approach a Grand Challenge has been proposed of autonomous operation of 100 robots for 100 days (100 days, 100 robots). Moreover, a framework coined the SOS-cycle (SOS: Swarm-Organism-Swarm) is developed. It controls the transitions between internal phases that enable the whole system to alternate between different modes mentioned above. This paper describes the vision of the Grand Challenge and the implementation and the results of the different phases of the SOS-cycle. The field of reconfigurable swarms of modular robots has achieved a current status of performance that allows applications in diverse fields that are characterized by human support (e.g. exploratory and rescue tasks) or even in human-less environments. The main goal of the EC project REPLICATOR [1] is the development and deployment of a heterogeneous swarm of modular robots that are able to switch autonomously from a swarm of robots, into different organism forms, to reconfigure hese forms, and finally to revert to the original swarm mode [2]. To achieve these goals three different types of robot modules have been developed and an extensive suite of embodied distributed cognition methods implemented [3]. Hereby the methodological key aspects address principles of self-organization. In order to tackle our ambitious approach a Grand Challenge has been proposed of autonomous operation of 100 robots for 100 days (100 days, 100 robots). Moreover, a framework coined the SOS-cycle (SOS: Swarm-Organism-Swarm) is developed. It controls the transitions between internal phases that enable the whole system to alternate between different modes mentioned above. This paper describes the vision of the Grand Challenge and the implementation and the results of the different phases of the SOS-cycle.
dcterms:title
A Cognitive Architecture for Modular and Self-Reconfigurable Robots A Cognitive Architecture for Modular and Self-Reconfigurable Robots
skos:prefLabel
A Cognitive Architecture for Modular and Self-Reconfigurable Robots A Cognitive Architecture for Modular and Self-Reconfigurable Robots
skos:notation
RIV/68407700:21230/14:00223329!RIV15-MSM-21230___
n3:aktivita
n22:P
n3:aktivity
P(7E08006)
n3:dodaniDat
n4:2015
n3:domaciTvurceVysledku
n13:4334175 n13:3933334 n13:5859662
n3:druhVysledku
n18:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
578
n3:idVysledku
RIV/68407700:21230/14:00223329
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Cognitive Systems; Modular Robots
n3:klicoveSlovo
n21:Modular%20Robots n21:Cognitive%20Systems
n3:kontrolniKodProRIV
[2F752A0F9910]
n3:mistoKonaniAkce
Ottawa
n3:mistoVydani
Piscataway
n3:nazevZdroje
Proceedings of 8th Annual IEEE Systems Conference
n3:obor
n9:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
8
n3:projekt
n5:7E08006
n3:rokUplatneniVysledku
n4:2014
n3:tvurceVysledku
Štěpán, Petr Liu, W. Meister, E. van Rossum, A. Caparrelli, F. Krajník, Tomáš Vonásek, Vojtěch Levi, P.
n3:typAkce
n20:WRD
n3:wos
000341949700070
n3:zahajeniAkce
2014-03-31+02:00
s:issn
1944-7620
s:numberOfPages
8
n19:doi
10.1109/SysCon.2014.6819298
n23:hasPublisher
IEEE
n10:isbn
978-1-4799-2086-0
n6:organizacniJednotka
21230