On homeostasis in collective robotic systems

Jon Timmis*, Andy Tyrrell

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

1 Citation (Scopus)

Abstract

The biological term Homeostasis refers to an organisms ability to maintain steady states of operation in a massively changing internal and external environment. Pervasive Adaptive (PerAda) systems operate in potentially hostile environments where there is a need to cope with a wide variety of changes, over multiple timescales, deal with interacting agents, cope with degraded data and cope with failing components. In the context of this paper, we consider the case of a swarm, and organism, of robotic units, as those developed as part of the SYMBRION project. Such a collective robotic system can be considered a case of a PerAda system. Our position is that for such systems to operate for extended periods of time, without human intervention, they should be homeostatic and that it is possible to develop such homeostatic PerAda systems inspired by the immune system.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 9th International Conference, ICARIS 2010, Proceedings
Pages307-309
Number of pages3
DOIs
Publication statusPublished - 2010
Event9th International Conference on Artificial Immune Systems, ICARIS 2010 - Edinburgh, United Kingdom of Great Britain and Northern Ireland
Duration: 26 Jul 201029 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6209 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Artificial Immune Systems, ICARIS 2010
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
CityEdinburgh
Period26 Jul 201029 Jul 2010

Fingerprint

Dive into the research topics of 'On homeostasis in collective robotic systems'. Together they form a unique fingerprint.

Cite this