Group-Level Behavioral Switch in a Robot Swarm Using Blockchain

Himank Gupta, Volker Strobel, Alexandre Pacheco, Eliseo Ferrante, Enrico Natalizio, Marco Dorigo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce the concept of group-level behavioral switch (GLBS) in a robot swarm. We consider two distinct types of GLBS that differ in whether or not the individual robots in the group need to switch their behavior at the same time: the Synchronous GLBS (S-GLBS) and the Asynchronous GLBS (A-GLBS). To implement these GLBSs, we propose a blockchain-based solution built on the Ethereum platform. We then study its performance in terms of required time and success rate in a series of simulation experiments.

Original languageEnglish (US)
Title of host publicationSwarm Intelligence - 14th International Conference, ANTS 2024, Proceedings
EditorsHeiko Hamann, Andreagiovanni Reina, Jonas Kuckling, Eduard Buss, Marco Dorigo, Leslie Pérez Cáceres, Tanja Katharina Kaiser, Mohammad Soorati, Ken Hasselmann
PublisherSpringer Science and Business Media Deutschland GmbH
Pages98-111
Number of pages14
ISBN (Print)9783031709319
DOIs
StatePublished - 2024
Event14th International Conference on Swarm Intelligence, ANTS 2024 - Konstanz, Germany
Duration: Oct 9 2024Oct 11 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14987 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Swarm Intelligence, ANTS 2024
Country/TerritoryGermany
CityKonstanz
Period10/9/2410/11/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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