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Arquitectura Neuronal con Aprendizaje Incremental y Creacion de Mapas: el Modelo ARM.

, and . Inteligencia Artif., 4 (10): 67-75 (2000)

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Image-Based Visual Servoing Controller for Multirotor Aerial Robots Using Deep Reinforcement Learning., , , , and . IROS, page 979-986. IEEE, (2018)A Deep Reinforcement Learning Technique for Vision-Based Autonomous Multirotor Landing on a Moving Platform., , , , and . IROS, page 1010-1017. IEEE, (2018)Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings., , , , and . IEEE Access, (2019)The Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection., , , , and . Eng. Appl. of AI, (2018)Using the Cross-Entropy method for control optimization: A case study of see-and-avoid on unmanned aerial vehicles., , , , and . MED, page 1183-1189. IEEE, (2014)Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments., , , , , and . IROS, page 1018-1023. IEEE, (2018)Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles., , and . CoRR, (2019)Vision-Based Multirotor Following Using Synthetic Learning Techniques., , , , and . Sensors, 19 (21): 4794 (2019)Obstacle Detection System for Small UAVs using ADS-B and Thermal Imaging., , , and . J. Intell. Robotic Syst., 88 (2-4): 583-595 (2017)Zenithal isotropic object counting by localization using adversarial training., , , and . Neural Networks, (2022)