Diego Fernandez Prado

Diego Fernandez Prado is a Researcher at the Chair of Media Technology, Technical University of Munich (TUM). He earned a B.Sc. in Physics from the University of Santiago de Compostela (2018) and an M.Sc. in Applied and Engineering Physics from TUM (2021). Since March 2021, he has pursued doctoral research in Robotics and Machine Intelligence.

His research intersects Machine Learning, Computer Vision, and Teleoperation, with a focus on

• Reinforcement Learning for virtual fixture estimation
• Digital Twin environments
• Haptic data applications in bandwidth-limited systems
• Time-domain passivity control

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Recent publications highlight his work in Robotics and Artificial Intelligence, particularly in teleoperation, virtual fixtures, and human-robot interaction. His articles analyze reinforcement learning integration, haptic codec optimization, and semantic segmentation for robotic tasks.