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A structure combining deep learning and predictive control to manage quadrotors and agile robots is presented.

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A structure combining deep learning and predictive control to manage quadrotors and agile robots is presented.

In the past few years, computer scientists have come up with increasingly complex algorithms to direct robotic agents. These algorithms, such as model predictive control (MPC), use a version of the agent’s behavior to create an optimal route towards a desired end result, while taking into account certain restrictions (for example, avoiding any sort of collision).