08 Oct '17, 11am

Drone Uses AI and 11,500 Crashes to Learn How to Fly

“Learning to Fly by Crashing,” a paper from CMU roboticists Dhiraj Gandhi, Lerrel Pinto, and Abhinav Gupta , has such a nice abstract that I’ll just let them explain what this research is all about: [T]he gap between simulation and real world remains large especially for perception problems. The reason most research avoids using large-scale real data is the fear of crashes! In this paper, we propose to bite the bullet and collect a dataset of crashes itself! We build a drone whose sole purpose is to crash into objects [. . .] We use all this negative flying data in conjunction with positive data sampled from the same trajectories to learn a simple yet powerful policy for UAV navigation. Cool, let’s get crashing! One way to think of flying (or driving or walking or any other form of motion) is that success is simply a continual failure to crash. From this perspective, the m...

Full article: https://spectrum.ieee.org/automaton/robotics/drones/drone...

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