Preprint
Sep 2026
DroneWAM: Efficient World Action Model for Drone Visual Navigation
DroneWAM adopts a JEPA-based architecture to model future states directly in representation space, avoiding the cost of explicit future image generation and reduces the average prediction depth from 8 to 4.58 while improving trajectory accuracy, demonstrating that predictive computation can be allocated more effectivel...
Liang Yao, Fan Liu, Hong-Bo Lu et al.
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