Our manuscript on our automatic dance detection and decoding system was published in PLoS One!
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
We just published the first tracking system for honeybee colonies in Frontiers in Ecology and Evolution. Thanks to the HLRN for generous support with storage and computing resources!
In a related project “NeuroRover”, we use spiking neural networks to control small robots. The robot’s brain, inspired by neural structures found in the honeybee, enables the machine to dynamically learn its environment and approach landmarks of interest – similar to… Continue Reading