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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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.

Original languageEnglish
Title of host publicationNew Trends in Medical and Service Robots - Design, Analysis and Control
EditorsMichael Hofbaur, Manfred Husty
PublisherSpringer Netherlands
Number of pages12
ISBN (Print)9783319599717
Publication statusPublished - 1 Jan 2018
Event5th International Workshop on Medical and Service Robots: MeSRob 2016 - Graz, Austria
Duration: 4 Jul 20166 Jul 2016

Publication series

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


Conference5th International Workshop on Medical and Service Robots


  • Bio-inspiration
  • Gradient taxis
  • Self organization
  • Swarm robotics
  • Tides

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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