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Learning Vision-Based Quadrotor Control in User Proximity

Publication date:

Authors:

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.

Reference

  • Published in: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  • DOI: 10.1109/HRI.2019.8673022
  • Date: 2019
Reference
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