This article describes the simulation of a robotic manipulator, SCARA configuration of three degrees of freedom. The main problem is the follow-Cartesian trajectories, which implements a technique for controlling neuronal. The simulations are performed using the dynamic model of the SCARA robot configuration, it tries to minimize the trajectory tracking error using a PID
controller for this is subsequently replaced by a previously trained neural network.
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