Fernando Torres
Papers
99
Total Citations
2,019
H-Index
23
About
Fernando Torres is a prominent researcher whose work spans robotics, automatic control, and engineering education technology. Based at the University of Alicante, Torres has made significant contributions to how robotics is both taught and applied in real-world settings. His pioneering development of virtual and remote laboratories for robotics education — dating back to 2003 and accumulating over 220 citations for a landmark 2011 study — has transformed how undergraduate students access hands-on learning experiences, removing barriers of cost and scheduling. His advocacy for accessible platforms is further reflected in widely cited work on Arduino-based laboratory experiments, embraced globally by engineering educators. Beyond pedagogy, Torres has advanced human-robot interaction through sophisticated sensor fusion techniques, notably applying Kalman filtering to IMU/UWB data for precise human operator tracking in shared robotic workspaces, earning over 150 citations. His research also encompasses robotic grasping intelligence, with deep learning approaches such as ConvLSTM networks for slip detection and geometry-based grasp point computation from 3D point clouds. Additionally, Torres has addressed industrial automation through multi-sensorial cooperative disassembly systems and safety-aware bounding volume methods for human-robot collaboration. With a body of work exceeding 800 combined citations, Torres represents a rare bridge between cutting-edge robotics research and transformative engineering education practice.
Research Focus
Key Achievements
Top Papers
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- 2Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter153 citations · 2008
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- 4A virtual laboratory for teaching robotics92 citations · 2003
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