Angela Schoellig and the Flying Machine Arena team at ETH Zurich have developed and implemented algorithms that allow their flying robots to race through an obstacle parcours – and learn to improve their performance. The robot (a quadcopter on this example) learns from its mistakes and it improves its perfmormance and accuracy every time it performs a certain task.

You can read the full article and watch the videos on Robohub | Quadrocopter learns from its mistakes, perfects air racing 

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