Victor H. Benítez
Papers
5
Total Citations
59
H-Index
3
About
Victor H. Benítez is an innovator at the intersection of engineering education, robotics, and biomedical signal processing. His research primarily focuses on developing accessible, low-cost robotic systems for education and advancing myoelectric control for human-machine interfaces. Benítez made a significant impact during the pandemic with his highly cited work on an affordable, open-source robot arm for online robotics teaching (26 citations), directly addressing the critical need for remote laboratory access. He further advances competency-based learning through challenge-based intensive courses using UAVs (22 citations), equipping engineering students with essential problem-solving skills. In biomedical engineering, Benítez has pioneered the classification of fine finger movements using surface electromyography (sEMG) signals, moving beyond static gestures to track subtle mechanical positions. His recent work on lightweight deep learning models for sEMG-based finger position classification (2025) demonstrates a forward-looking approach toward deploying these systems on embedded platforms, enabling real-time, portable prosthetics and assistive devices. With a career spanning educational technology and neural interface design, Benítez’s contributions are shaping both how future engineers learn and how humans interact with machines.
Research Focus
Key Achievements
Top Papers
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