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A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360312" target="_blank" >RIV/68407700:21230/22:00360312 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.3389/frobt.2022.791921" target="_blank" >https://doi.org/10.3389/frobt.2022.791921</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/frobt.2022.791921" target="_blank" >10.3389/frobt.2022.791921</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    R - Projekt Ramcoveho programu EK

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Frontiers in Robotics and AI

  • ISSN

    2296-9144

  • e-ISSN

    2296-9144

  • Svazek periodika

    9

  • Číslo periodika v rámci svazku

    April

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    17

  • Strana od-do

    1-17

  • Kód UT WoS článku

    000795875300001

  • EID výsledku v databázi Scopus

    2-s2.0-85130146099