A swarm design paradigm unifying swarm behaviors using minimalistic communication
- Joshua Cherian Varughese,
- Hannes Hornischer,
- ,
- Ronald Thenius,
- Franz Wotawa,
- Thomas Schmickl
- University of Graz,
- Graz University of Technology
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishJournal (Volume, Issue Number)
Bioinspiration & Biomimetics (Volume 15, Issue 3)Publication milestones
- Published - 05/03/2020
Publication status
Published - 05/03/2020
Publication IDs
- ORCID: /0000-0002-4521-7428/work/79158549
- Scopus: 85081944903
Abstract
Numerous nature inspired algorithms have been suggested to enable robotic swarms, mobile sensor networks and other multi-agent systems to exhibit various self-organized behaviors. Swarm intelligence and swarm robotics research have been underway for a few decades and have produced many such algorithms based on natural self-organizing systems. While a large body of research exists for variations and modifications in swarm intelligence algorithms, there have been few attempts to unify the underlying agent level design of these widely varying behaviors. In this work, a design paradigm for a swarm of agents is presented which can exhibit a wide range of collective behaviors at swarm level while using minimalistic single-bit communication at the agent level. The communication in the proposed paradigm is based on waves of ‘ping’-signals inspired by strategies for communication and self organization of slime mold (Dictyostelium discoideum) and fireflies (lampyridae). The unification of common collective behaviors through this Wave Oriented Swarm Paradigm (WOSP) enables the control of swarms with minimalistic communication and yet allowing the emergence of diverse complex behaviors. It is demonstrated both in simulation and using real robotic experiments that even a single-bit communication channel between agents suffices for the design of a substantial set of behaviors. Ultimately, the reader will be enabled to combine different behaviours based on the paradigm to develop a control scheme for individual swarms.
Publication metrics
PlumX, opens in new tab
Captures
24
Citations
12
