Authors: Mantegazza, Dario; Guzzi, Jérôme; Gambardella, Luca M.; Giusti, Alessandro
We consider a quadrotor equipped with a forward-facing camera, and an user freely moving in its proximity; we control the quadrotor in order to stay in front of the user, using only camera frames. To do so, we train a deep neural network to predict the drone controls given the camera image. Training data is acquired by running a simple hand-designed controller which relies on optical motion tracking data.
- Published in: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
- DOI: 10.1109/HRI.2019.8673022
- Date: 2019