A neural-endocrine architecture for foraging in swarm robotic systems

Jon Timmis; Lachlan Murray; Mark Neal

doi:10.1007/978-3-642-12538-6_27

A neural-endocrine architecture for foraging in swarm robotic systems

Jon Timmis^*, Lachlan Murray, Mark Neal

^*Awdur cyfatebol y gwaith hwn

Adran Cyfrifiadureg

University of York

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

17 Dyfyniadau (Scopus)

185 Wedi eu Llwytho i Lawr (Pure)

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This paper presents the novel use of the Neural-endocrine architecture for swarm robotic systems. We make use of a number of behaviours to give rise to emergent swarm behaviour to allow a swarm of robots to collaborate in the task of foraging. Results show that the architecture is amenable to such a task, with the swarm being able to successfully complete the required task.

Iaith wreiddiol	Saesneg
Teitl	Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)
Golygyddion	Juan Gonzalez, Carlos Cruz, David Alejandro Pelta, German Terrazas, Natalio Krasnogor
Tudalennau	319-330
Nifer y tudalennau	12
Cyfrol	284
ISBN (Electronig)	978-3-642-12538-6
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-642-12538-6_27
Statws	Cyhoeddwyd - 2010

Cyfres gyhoeddiadau

Enw	Studies in Computational Intelligence
Cyhoeddwr	Springer
Cyfrol	284
ISSN (Argraffiad)	1860-949X

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10.1007/978-3-642-12538-6_27

nicso2010.pdf

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Timmis, J., Murray, L., & Neal, M. (2010). A neural-endocrine architecture for foraging in swarm robotic systems. Yn J. Gonzalez, C. Cruz, D. A. Pelta, G. Terrazas, & N. Krasnogor (Gol.), Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) (Cyfrol 284, tt. 319-330). (Studies in Computational Intelligence; Cyfrol 284). https://doi.org/10.1007/978-3-642-12538-6_27

@inproceedings{9c8c0b599b3d4279966a9a9365772d07,

title = "A neural-endocrine architecture for foraging in swarm robotic systems",

abstract = "This paper presents the novel use of the Neural-endocrine architecture for swarm robotic systems. We make use of a number of behaviours to give rise to emergent swarm behaviour to allow a swarm of robots to collaborate in the task of foraging. Results show that the architecture is amenable to such a task, with the swarm being able to successfully complete the required task.",

author = "Jon Timmis and Lachlan Murray and Mark Neal",

year = "2010",

doi = "10.1007/978-3-642-12538-6_27",

language = "English",

isbn = "9783642125379",

volume = "284",

series = "Studies in Computational Intelligence",

publisher = "Springer",

pages = "319--330",

editor = "Juan Gonzalez and Carlos Cruz and Pelta, {David Alejandro} and German Terrazas and Natalio Krasnogor",

booktitle = "Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)",

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A neural-endocrine architecture for foraging in swarm robotic systems. / Timmis, Jon; Murray, Lachlan; Neal, Mark.
Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). gol. / Juan Gonzalez; Carlos Cruz; David Alejandro Pelta; German Terrazas; Natalio Krasnogor. Cyfrol 284 2010. t. 319-330 (Studies in Computational Intelligence; Cyfrol 284).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

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AB - This paper presents the novel use of the Neural-endocrine architecture for swarm robotic systems. We make use of a number of behaviours to give rise to emergent swarm behaviour to allow a swarm of robots to collaborate in the task of foraging. Results show that the architecture is amenable to such a task, with the swarm being able to successfully complete the required task.

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A neural-endocrine architecture for foraging in swarm robotic systems

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