Research
Carnegie Mellon Team Trains Autonomous Drones Using Cross-Modal Simulated Data
To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. 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