Edited & prepared by Oscar Michel, Masters in Journalism, DCU.

Excellent podcast from the Robohub team. See more by them here, and thanks to the guys for bringing us such consistent high quality content

In this episode of Robots Podcast Abate De Mey interviews Guido De Croon about Evolutionary Robotics and its use to design behaviors for flying robots.

They discuss a recent paper by Kirk Schepe et al., in which the DelFly UAV robot learns to fly through an open window when trapped inside a room thanks to a controller optimized using a Genetic Algorithm. The controller is programmed using a Behavior Tree Framework, which is more intuitive and adaptable than the traditional Neural Network framework. This helps the user to manually adapt the controller to handle the differences between the simulation and the real world. They go on to discuss the challenges and benefits of using Evolutionary Robotics to learn robot behaviors.

Who is Guido De Croon?
Guido de Croon is Assistant Professor at the Micro Air Vehicle lab of Delft University of Technology in the Netherlands. His research interest lies with computationally efficient algorithms for robot autonomy, with a particular focus on computer vision and evolutionary robotics.

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