Evidence map›Paper›PMID 35572369›Full record

ArticleFrontiers in robotics and AI2022

A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees.

Martin Stefanec, Daniel N Hofstadler, Tomáš Krajník, Ali Emre Turgut, Hande Alemdar, Barry Lennox, Erol Şahin, Farshad Arvin, Thomas Schmickl

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In one paragraph

Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Bioinspired robots can foster nature conservation.Frontiers in robotics and AI · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Martin StefanecArtificial Life Lab, Institute of Biology, University of Graz, Graz, Austria.
Daniel N HofstadlerArtificial Life Lab, Institute of Biology, University of Graz, Graz, Austria.
Tomáš KrajníkArtificial Intelligence Centre, Faculty of Electrical Engineering, Czech Technical University, Prague, Czechia.
Ali Emre TurgutDepartment of Mechanical Engineering, Middle East Technical University, Ankara, Türkiye.
Hande AlemdarROMER-Center for Robotics and Artificial Intelligence, Middle East Technical University, Ankara, Türkiye.
Barry LennoxDepartment of Computer Engineering, Middle East Technical University, Ankara, Türkiye.
Erol ŞahinROMER-Center for Robotics and Artificial Intelligence, Middle East Technical University, Ankara, Türkiye.
Farshad ArvinDepartment of Computer Engineering, Middle East Technical University, Ankara, Türkiye.
Thomas SchmicklArtificial Life Lab, Institute of Biology, University of Graz, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ecosystem hackinghoneybeesmicro-roboticsqueen behaviorswarm robotics

Identifiers

PMID35572369
PMCPMC9096355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.