Luca De Luca

Papers

Total Citations

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About

Luca De Luca is a robotics researcher whose work bridges human physiology and autonomous systems, with a primary focus on assistive robotics and human-machine interfaces. His most cited contribution, "Development of an EMG-Controlled Mobile Robot" (2018, 38 citations), demonstrates his expertise in integrating electromyography (EMG) signals with Robot Operating System (ROS) architectures. This paper introduces a modular mobile robot controlled by a Raspberry Pi 3 and Teensy microcontroller, enabling intuitive, muscle-signal-based navigation. De Luca’s research advances the field of non-invasive control systems, particularly for individuals with motor impairments, by making robotic assistance more accessible and responsive. His work has influenced subsequent studies in bio-signal processing and ROS-based robotics, with his 2018 paper serving as a foundational reference for EMG-driven mobile platforms. By combining hardware modularity with real-time signal processing, De Luca has contributed to the growing intersection of biomedical engineering and robotics, offering practical solutions for adaptive, user-centered robotic control.