Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00381291" target="_blank" >RIV/68407700:21230/24:00381291 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/24:00381291

Result on the web

<a href="https://doi.org/10.1109/IROS58592.2024.10801380" target="_blank" >https://doi.org/10.1109/IROS58592.2024.10801380</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IROS58592.2024.10801380" target="_blank" >10.1109/IROS58592.2024.10801380</a>

Result language

angličtina

Original language name

Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies

Original language description

Honeybees are one of the most important pollinators in the ecosystem. Unfortunately, the dynamics of living honeybee colonies are not well understood due to their complexity and difficulty of observation. In our project 'RoboRoyale', we build and operate a robot to be a part of a bio-hybrid system, which currently observes the honeybee queen in the colony and physically tracks it with a camera. Apart from tracking and observing the queen, the system needs to monitor the state of the honeybee comb which is most of the time occluded by workerbees. This introduces a necessary tradeoff between tracking the queen and visiting the rest of the hive to create a daily map. We aim to collect the necessary data more effectively. We evaluate several mapping methods that consider the previous observations and forecasted densities of bees occluding the view. To predict the presence of bees, we use previously established maps of dynamics developed for autonomy in human-populated environments. Using data from the last observational season, we show significant improvement of the informed comb mapping methods over our current system. This will allow us to use our resources more effectively in the upcoming season.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Article name in the collection

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

ISBN

979-8-3503-7770-5

ISSN

2153-0858

e-ISSN

2153-0866

Number of pages

8

Pages from-to

5948-5955

Publisher name

IEEE

Place of publication

Piscataway

Event location

Abu Dhabi

Event date

Oct 14, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001411890000613