What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee?
Such a computationally and energy-efficient autonomous robot would represent a step-change in robotics technology and is precisely what the ‘Brains on Board’ project aims to achieve.

My role on the project is to develop neural models of how the honeybee's brain performs visual learning. This involves using data about the individual neurons as well as behaviour. Due to the lack of some data on honeybees we also look at the neural structure of the fruit fly brain, as a great many circuits seem to be preserved across these insect species.

We are also aiming to embody these models on flying robots, and are developing our own custom platforms.