Cargando…

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees

Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen bee, a central colony element, has the potential to...

Descripción completa

Detalles Bibliográficos
Autores principales: Stefanec, Martin, Hofstadler, Daniel N., Krajník, Tomáš, Turgut, Ali Emre, Alemdar, Hande, Lennox, Barry, Şahin, Erol, Arvin, Farshad, Schmickl, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096355/
https://www.ncbi.nlm.nih.gov/pubmed/35572369
http://dx.doi.org/10.3389/frobt.2022.791921
_version_ 1784705958856884224
author Stefanec, Martin
Hofstadler, Daniel N.
Krajník, Tomáš
Turgut, Ali Emre
Alemdar, Hande
Lennox, Barry
Şahin, Erol
Arvin, Farshad
Schmickl, Thomas
author_facet Stefanec, Martin
Hofstadler, Daniel N.
Krajník, Tomáš
Turgut, Ali Emre
Alemdar, Hande
Lennox, Barry
Şahin, Erol
Arvin, Farshad
Schmickl, Thomas
author_sort Stefanec, Martin
collection PubMed
description Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen bee, a central colony element, has the potential to change the collective behavior of the entire colony and thus also improve its interaction with the surrounding ecosystem. Such a system can be used to study and understand many elements of bee behavior within hives that have not been adequately researched. We discuss here the applicability of this technology for ecosystem protection: A novel paradigm of a minimally invasive form of conservation through “Ecosystem Hacking”. We discuss the necessary requirements for such technology and show experimental data on the dynamics of the natural queen’s court, initial designs of biomimetic robotic surrogates of court bees, and a multi-agent model of the queen bee court system. Our model is intended to serve as an AI-enhanceable coordination software for future robotic court bee surrogates and as a hardware controller for generating nature-like behavior patterns for such a robotic ensemble. It is the first step towards a team of robots working in a bio-compatible way to study honey bees and to increase their pollination performance, thus achieving a stabilizing effect at the ecosystem level.
format Online
Article
Text
id pubmed-9096355
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-90963552022-05-13 A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees Stefanec, Martin Hofstadler, Daniel N. Krajník, Tomáš Turgut, Ali Emre Alemdar, Hande Lennox, Barry Şahin, Erol Arvin, Farshad Schmickl, Thomas Front Robot AI Robotics and AI Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen bee, a central colony element, has the potential to change the collective behavior of the entire colony and thus also improve its interaction with the surrounding ecosystem. Such a system can be used to study and understand many elements of bee behavior within hives that have not been adequately researched. We discuss here the applicability of this technology for ecosystem protection: A novel paradigm of a minimally invasive form of conservation through “Ecosystem Hacking”. We discuss the necessary requirements for such technology and show experimental data on the dynamics of the natural queen’s court, initial designs of biomimetic robotic surrogates of court bees, and a multi-agent model of the queen bee court system. Our model is intended to serve as an AI-enhanceable coordination software for future robotic court bee surrogates and as a hardware controller for generating nature-like behavior patterns for such a robotic ensemble. It is the first step towards a team of robots working in a bio-compatible way to study honey bees and to increase their pollination performance, thus achieving a stabilizing effect at the ecosystem level. Frontiers Media S.A. 2022-04-28 /pmc/articles/PMC9096355/ /pubmed/35572369 http://dx.doi.org/10.3389/frobt.2022.791921 Text en Copyright © 2022 Stefanec, Hofstadler, Krajník, Turgut, Alemdar, Lennox, Şahin, Arvin and Schmickl. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Stefanec, Martin
Hofstadler, Daniel N.
Krajník, Tomáš
Turgut, Ali Emre
Alemdar, Hande
Lennox, Barry
Şahin, Erol
Arvin, Farshad
Schmickl, Thomas
A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title_full A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title_fullStr A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title_full_unstemmed A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title_short A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
title_sort minimally invasive approach towards “ecosystem hacking” with honeybees
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096355/
https://www.ncbi.nlm.nih.gov/pubmed/35572369
http://dx.doi.org/10.3389/frobt.2022.791921
work_keys_str_mv AT stefanecmartin aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT hofstadlerdanieln aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT krajniktomas aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT turgutaliemre aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT alemdarhande aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT lennoxbarry aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT sahinerol aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT arvinfarshad aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT schmicklthomas aminimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT stefanecmartin minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT hofstadlerdanieln minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT krajniktomas minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT turgutaliemre minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT alemdarhande minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT lennoxbarry minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT sahinerol minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT arvinfarshad minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees
AT schmicklthomas minimallyinvasiveapproachtowardsecosystemhackingwithhoneybees