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Fernando Torres

Researcher at University of Alicante

Publications -  214
Citations -  2910

Fernando Torres is an academic researcher from University of Alicante. The author has contributed to research in topics: Visual servoing & Robot. The author has an hindex of 26, co-authored 211 publications receiving 2599 citations.

Papers
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Journal ArticleDOI

Hands-on experiences of undergraduate students in Automatics and Robotics using a virtual and remote laboratory

TL;DR: An experience teaching based on a blended-learning method using as experimentation tool a virtual and remote robotic laboratory called RobUALab is presented, which is also described in the paper, in Automatics and Robotics subjects of the Computer Science degree at the University of Alicante.
Proceedings ArticleDOI

Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter

TL;DR: A Kalman filter fusion algorithm which combines the measurements of these systems is developed and unifies the advantages of both technologies: high data rates from the motion capture system and global translational precision from the UWB localization system.
Journal ArticleDOI

Real-time collaboration of virtual laboratories through the Internet

TL;DR: A new dynamic collaborative e-learning system which combines the main advantages of virtual laboratories and collaborative learning practices and its successful application in a distance education environment among different universities from Spain is described.
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A Network of Automatic Control Web-Based Laboratories

TL;DR: The authors describe their experience regarding the analysis, design, development, and exploitation of web-based technologies within the scope of automatic control within the context of remote experimentation applied to control engineering education.
Journal ArticleDOI

Automatic PC disassembly for component recovery

TL;DR: In this paper, a disassembly cell is composed of several sub-systems, each of which is dedicated to the planning and execution of one type of task, and a computer vision system is employed for the recognition and localisation of the product and each of its components.