To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. (See video below.)
A novel method developed by Carnegie Mellon University researchers allows drones to learn perception and action separately.
The two-stage approach overcomes the “simulation-to-reality gap”, and creates a way to safely deploy drones trained entirely on simulated data into real-world course navigation. [Read more…] about CMU researchers train autonomous drones using cross-modal simulated data
