Real-time Neural MPC: Deep Learning & Model Predictive Control Framework

Model predictive control (MPC) is a powerful technique that has gained popularity in recent years for controlling the movements of robotic agents. It involves using a model of the agent’s dynamics to predict its future behaviour. Followed by optimization of this behaviour to achieve a desired goal while also satisfying a set of constraints. MPC algorithms are capable of handling complex scenarios and can consider various factors such as the agent’s physical constraints, environmental conditions, and the dynamics of other objects in the environment. This makes MPC a popular choice…

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