Algoritmo Autónomo de Control de Trayectorias en Escenarios con Obstáculos para Mini Drones Utilizando Técnicas de Aprendizaje por Refuerzo

This project develops and simulates a tracking algorithm where its main function is the autonomous guidance of mini drones, this algorithm was designed with the approach of reinforcement learning (RL) through neural networks. The entire design was performed with the MATLAB computational tool, which...

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Bibliographic Details

Main Author:	Baron Pacheco, Brayan Eduardo
Other Authors:	Erazo Ordoñez, Christian Camilo
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2022
Subjects:	Mini Drone Redes Neuronales Control Autónomo Aprendizaje por Refuerzo 620.1 Neural Networks Autonomous Control Reinforcement Learning
Online Access:	http://repositorio.uan.edu.co/handle/123456789/6476
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