A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Robotics and AI
ISSN
2296-9144
e-ISSN
2296-9144
Volume of the periodical
9
Issue of the periodical within the volume
April
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
1-17
UT code for WoS article
000795875300001
EID of the result in the Scopus database
2-s2.0-85130146099