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


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.

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


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


Konferenz5th International Workshop on Medical and Service Robots

ASJC Scopus subject areas

  • Werkstoffmechanik
  • Maschinenbau


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