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 ai-powered racing drone challenge


JPL's AI-Powered Racing Drone Challenges Pro Human Pilot

IEEE Spectrum Robotics

As drones and their components get smaller, more efficient, and more capable, we've seen an increasing amount of research towards getting these things flying by themselves in semi-structured environments without relying on external localization. The University of Pennsylvania has done some amazing work in this area, as has DARPA's Fast Lightweight Autonomy program. At NASA's Jet Propulsion Laboratory, they've been working on small drone autonomy for the past few years as part of a Google-funded project. The focus is on high-speed dynamic maneuvering, in the context of flying a drone as fast as possible around an indoor race course using only on-board hardware. For the project's final demo, JPL raced their autonomous drones through an obstacle course against a professional human racing drone pilot.