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Quadrocopter balancing act

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"The biggest challenge to get the system running was the catching part. We tried various catching maneuvers, but none of them worked until we introduced a learning algorithm, which adapts parameters of the catching trajectory to eliminate systematic errors."


Extrapolating forward, it's pretty easy to imagine larger versions of these devices one day acting as emergency rescue mechanisms, throwing and catching people trapped in burning buildings and other precarious aerial situations.


This latest trick is just incredible. It seems these tireless, ultra-precise, adaptive machines will give many manned aerial tasks a run for the money. They will also allow for previously impossible or impractical aerial solutions. It will be very interesting to watch as commercial use UAS enter the national airspace system.

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