In recent years, computer scientists have developed increasingly advanced algorithms for controlling the movements of robotic agents. These include model predictive control (MPC) techniques, which use a model of the agent's dynamics to optimize its future behavior toward a given goal while simultaneously satisfying a number of constraints (e.g., cannot crash into obstacles).
from News on Artificial Intelligence and Machine Learning https://ift.tt/UtuNyKx
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A deep learning and model predictive control framework to control quadrotors and agile robots
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