AI Improves Parachute Landing Accuracy
ycombinator · x · 2026-07-14
[Repost] Inversion Space explains how they use the latest computer vision and AI models to track the movement and deformation of a parachute canopy under various flight conditions.
Using data from over 100 flights, covering different control inputs, visual disturbances, canopy deflections, and attitude changes, they fed these observations into an 8-DOF model to further tune Arc's GNC algorithms. The result was a 90% reduction in landing error. Their goal is to make flexible canopy wings nearly as controllable as rigid metal wings.
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