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It is argued that harnessing physical-digital AI agents, through persistent coupling of digital intelligence with physical sensing, dynamics, action, and feedback, provides a system-level pathway toward adaptive and continuously evolving UAV autonomy.
Aerial robots can now achieve 80.2% better task completion by decoupling movement and manipulation, revolutionizing how we approach aerial tasks.
UAVs can now track pedestrians with significantly improved accuracy and speed thanks to a novel Vision-Language-Action model that leverages temporal compression and spatial awareness.
