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Achieving a 7.4x boost in zero-shot generalization for drone racing without sacrificing speed could redefine performance benchmarks in RL applications.
Train high-speed, event-camera-guided quadrotors without expensive event rendering by decoupling representation learning from policy learning.
Suppressing motion-related noise in event camera data can boost Vision Transformer inference by 83% and improve visual odometry accuracy by 13%.
