Listar por grupo de investigación "Robótica y Automatización"
Mostrando ítems 1-7 de 7
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Diegetic Graphical User Interfaces for Robot Control via Eye-gaze
(IEEE, 2025)Eye-gaze stands out as an intuitive interface for hands-free control of robotic devices due to its brief training time, fast calibration, low invasiveness, and reduced complexity and cost. However, current approaches are ... -
Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning
(Springer, 2025)Training robots in the real-world using reinforcement learning is both expensive and risky. World Models—a simulated environment that mirrors real-world conditions—have been proved to offer an alternative to real-world ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Piecewise Modeling Based on Particle Swarm Optimization Algorithm Using Numerical Data
(IEEE, 2024)We propose a piecewise modeling method using numerical data. The shape of the piecewise model is a rectangular form into a state-space. The vertex values of the rectangular regions are determined using particle swarm ...
