FireSlime Algorithm: Bio-Inspired Emergent Gradient Taxis

Joshua Cherian Varughese, Ronald Thenius, Franz Wotawa, Thomas Schmickl

Research output: Contribution to conferencePaper

Abstract

This article presents a novel bio-inspired emergent gradient
taxis principle for robot swarms. The underlying communica-
tion method was inspired by slime mold and fireflies. Nature
showcases a number of simple organisms which can display
complex behavior in various aspects of their lives such as sig-
naling, foraging, mating etc. Such decentralized behaviors
at the organism level gives rise to an emergent intelligence
such as in bees, slime mold, fireflies etc. Chemo taxis and
photo taxis are known to be abilities exhibited by simple or-
ganisms without elaborate sensory and actuation capabilities.
Our novel algorithm combines the underlying principles of
slime mold and fireflies to achieve gradient taxis purely based
on neighbor-to-neighbor communication. In this article, we
present a model of the algorithm and test the algorithm in a
multiagent simulation environment.
Original languageEnglish
Pages330
Number of pages8
DOIs
Publication statusPublished - 2016
EventInternational Conference on the Synthesis and Simulation of Living Systems - Cancún, Mexico
Duration: 4 Jul 20168 Jul 2016
Conference number: 15
http://alife.org/conference/alife-xv-2016

Conference

ConferenceInternational Conference on the Synthesis and Simulation of Living Systems
Abbreviated titleALIFE
CountryMexico
CityCancún
Period4/07/168/07/16
Internet address

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Fingerprint Dive into the research topics of 'FireSlime Algorithm: Bio-Inspired Emergent Gradient Taxis'. Together they form a unique fingerprint.

Cite this