Jonathan Moron

Papers

Total Citations

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About

Jonathan Moron is a researcher in human–machine interaction and assistive robotics, with a focus on intuitive control systems that bridge the gap between human physiology and robotic assistance. His most cited work, "EMG-based hand gesture control system for robotics" (2018, 10 citations), introduces a wearable human–machine interface that uses electromyogram (EMG) signals from the MyoWave muscle sensor to enable real-time hand gesture recognition. By designing a compact microcontroller-based system, Moron demonstrated how muscle activity can be translated into commands for in-home assistance robots, offering a non-invasive, low-cost solution for users with limited mobility. This contribution is notable for its practical approach to integrating biosignal processing with robotic control, laying groundwork for more natural and accessible assistive technologies. Moron’s work is particularly relevant to researchers in rehabilitation engineering and human–robot collaboration, as it highlights the potential of EMG-based interfaces to enhance independence and quality of life. With growing interest in wearable robotics, his research continues to influence the development of responsive, user-centered control systems.