Paper on Automatic Waggle Dance Detection and Decoding Published in PLoS One
Our manuscript on our automatic dance detection and decoding system was published in PLoS One!
News
Field test with tethered bees flying on copter successful
Kirk Visscher to give a talk on honeybee nest site selection
Prof. Kirk Visscher (University of California, Riverside) will give a talk on monday! House hunting by committee in honey bee swarms: The blind intelligence of distributed decision-making A swarm of honey bees must locate a new nest cavity rapidly, but… Continue Reading
MIT Technology Review Article on our new Dance Decoding System
A few days ago we uploaded a manuscript on our new vision system for the decoding of honeybee dances to arxiv. Promptly, MIT Technology Review publishes an article on it: https://www.technologyreview.com/s/608796/machine-vision-decodes-honeybee-waggle-dances/
New Bee Vision Framework Available
Honeybees are extraordinary navigators. We study their behavior in a joint project with Prof. Randolf Menzel who uses a harmonic radar system to track the flight of individual bees. In one project branch we analyze these flight paths and ask… Continue Reading
Tim wins price in Research-to-Market-Challenge
The “Research to Market Challenge” is a competition for research-based product and business ideas from Freie Universität Berlin, Charité Berlin and cooperating institutes. Tim was awarded the second place in the category “Digital” for his bee-inspired peer-to-peer charging concept for… Continue Reading
New prototype of NeuroCopter successfully tested
In our research project “NeuroCopter” we study the honeybee brain while the animal is navigating. We attach living honeybees to a quadcopter, fly over known or unknown terrain, and observe the bee’s behavior and brain activity. This is our first… Continue Reading
Paper on the bee dance published!
In our collaboration with James Nieh (UC San Diego) we investigated how bees that follow either the waggle or the tremble dance are attracted to the signalling bee. We tracked the movements of followers and dancers in video recordings and analyzed… Continue Reading
Ben and Leon @ ICLR 2017
Solving problems in Machine Learning very often relates to the question how to represent the data. While in the past most problems were approached with manually crafted features, we observe a move towards learning algorithms that derive robust and informative features. The 5th International… Continue Reading
Aerial recordings of fish shoals successful!
We have sent Julian on a trip to Mexico with our collaborators Jens Krause, David Bierbach and Pawel Romanczuk who were studying the collective dynamics of an endemic fish species. Julian, our drone pilot in Project NeuroCopter, used our DJI… Continue Reading