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A robotic honeycomb for interaction with a honeybee colony

Overview of attention for article published in Science Robotics, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
37 news outlets
blogs
1 blog
twitter
154 X users
facebook
2 Facebook pages
reddit
2 Redditors

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A robotic honeycomb for interaction with a honeybee colony
Published in
Science Robotics, March 2023
DOI 10.1126/scirobotics.add7385
Pubmed ID
Authors

Rafael Barmak, Martin Stefanec, Daniel N Hofstadler, Louis Piotet, Stefan Schönwetter-Fuchs-Schistek, Francesco Mondada, Thomas Schmickl, Rob Mills

Abstract

Robotic technologies have shown the capability to interact with living organisms and even to form integrated mixed societies composed of living and artificial agents. Biocompatible robots, incorporating sensing and actuation capable of generating and responding to relevant stimuli, can be a tool to study collective behaviors previously unattainable with traditional techniques. To investigate collective behaviors of the western honeybee (Apis mellifera), we designed a robotic system capable of observing and modulating the bee cluster using an array of thermal sensors and actuators. We initially integrated the system into a beehive populated with about 4000 bees for several months. The robotic system was able to observe the colony by continuously collecting spatiotemporal thermal profiles of the winter cluster. Furthermore, we found that our robotic device reliably modulated the superorganism's response to dynamic thermal stimulation, influencing its spatiotemporal reorganization. In addition, after identifying the thermal collapse of a colony, we used the robotic system in a "life-support" mode via its thermal actuators. Ultimately, we demonstrated a robotic device capable of autonomous closed-loop interaction with a cluster comprising thousands of individual bees. Such biohybrid societies open the door to investigation of collective behaviors that necessitate observing and interacting with the animals within a complete social context, as well as for potential applications in augmenting the survivability of these pollinators crucial to our ecosystems and our food supply.

X Demographics

X Demographics

The data shown below were collected from the profiles of 154 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Master 2 11%
Student > Ph. D. Student 1 5%
Lecturer 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 10 53%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 26%
Engineering 2 11%
Chemistry 1 5%
Earth and Planetary Sciences 1 5%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 379. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2024.
All research outputs
#83,506
of 25,729,842 outputs
Outputs from Science Robotics
#69
of 640 outputs
Outputs of similar age
#2,174
of 424,445 outputs
Outputs of similar age from Science Robotics
#3
of 17 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 166.1. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,445 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.