Daniel Tudor Cotfas

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About

Daniel Tudor Cotfas is a researcher at the forefront of human-computer interaction and virtual instrumentation, with a particular focus on intuitive control systems. His work bridges the gap between physical gestures and digital commands, most notably demonstrated in his highly cited 2019 paper, "Virtual robot arm controlled by hand gestures via Leap Motion Sensor." In this influential study, Cotfas developed a LabVIEW-based instrument that translates natural hand movements—captured by the Leap Motion Controller—into precise commands for a 3D virtual robot arm. By harnessing a specialized LabVIEW toolkit to interpret swipe gestures, his research offers a compelling alternative to traditional input devices, paving the way for more accessible and immersive robotic control. This work, which has garnered 5 citations, showcases his ability to integrate sensor technology with software engineering to solve real-world interaction challenges. Cotfas’s contributions are particularly valuable for students and researchers exploring gesture-based interfaces, virtual reality, and assistive technologies, where his methods provide a practical foundation for future innovations in human-robot collaboration.