Deploying Neural-Fly in the Field

Anonymous

Abstract:

Neural-Fly is a learning-based control method that allows rapid online learning by incorporating a pre-trained representations of unmodeled aerodynamics with adaptive control.
Not is Neural-Fly robust to different tasks, environments, and drones, but also it builds off a standard control architecture, creating a straightforward way to begin integrating learning-based control into safety critical applications.
In this workshop, we will present the latest results for Neural-Fly on field robots, discuss implementation considerations, and show case other applications of Neural-Fly, such as fault tolerant control.