FSTT algorithm: Can tides assist bio-inspired gradient taxis?

J. Ch Varughese*, R. Thenius, F. Wotawa, Th Schmickl

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

In this article we introduce a variation of the Firefly-Slime mold-Taxis (FSTaxis) algorithm, which is an emergent gradient ascent solution using external environmental influences such as tides, wind among others. Such external environmental influences are useful sources of energy for movement. If utilized, this results in substantial energy saving compared to robots relying solely on propulsion. Assistance using external factors can be adopted by various types of service robots depending on their environment of operation (for example, rescue robots, robotic underwater exploration). The variant of the FSTaxis algorithm we present in this paper combines bio-inspired communication strategies to achieve gradient taxis purely based on neighbor-to-neighbor interaction and tidal movements for mobility. In this article, we discuss the modified algorithm in detail and further introduce first simulation results obtained using a multiagent simulation environment.

Originalspracheenglisch
TitelNew Trends in Medical and Service Robots - Design, Analysis and Control
Redakteure/-innenMichael Hofbaur, Manfred Husty
Herausgeber (Verlag)Springer Netherlands
Seiten319-330
Seitenumfang12
ISBN (Print)9783319599717
DOIs
PublikationsstatusVeröffentlicht - 1 Jan 2018
Veranstaltung5th International Workshop on Medical and Service Robots: MeSRob 2016 - Graz, Österreich
Dauer: 4 Jul 20166 Jul 2016

Publikationsreihe

NameMechanisms and Machine Science
Band48
ISSN (Print)2211-0984
ISSN (elektronisch)2211-0992

Konferenz

Konferenz5th International Workshop on Medical and Service Robots
LandÖsterreich
OrtGraz
Zeitraum4/07/166/07/16

ASJC Scopus subject areas

  • Werkstoffmechanik
  • Maschinenbau

Fingerprint

Untersuchen Sie die Forschungsthemen von „FSTT algorithm: Can tides assist bio-inspired gradient taxis?“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren