Behavior Studio Project

This project takes as a basis the final works of Vanessa Fernandez, Francisco Pérez and Nacho Arranz to create a test environment that evaluates the quality of the models trained with Deep Learning for an autonomous car to complete a lap of a circuit.

The aim is that, by loading a model in TensorFlow, Pytorch or even explicitly programmed, conclusions can be drawn about the quality of the model.

For more information visit the Behavior Studio project page.


The aim of this project is to obtain a platform for evaluating neural network models. Starting with the behavior of autonomous cars but also extendable to other types of robots, such as drones, humanoids, etc.