Muhammad Ilhamdi Rusyidi

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About

Muhammad Ilhamdi Rusyidi is a researcher at the forefront of bio-robotics and human-machine interaction, specializing in the translation of human bio-potential signals into intuitive robot control systems. His most-cited work, "Robot control systems using bio-potential signals" (2020, 7 citations), lays critical groundwork for harnessing electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) to create seamless interfaces between the human nervous system and robotic platforms. By focusing on the estimation and identification of usable biological signals, Rusyidi addresses a fundamental challenge in assistive and rehabilitation robotics: how to reliably decode complex neural and muscular commands for precise, real-time control. His contributions are particularly vital for developing non-invasive, accessible technologies that can empower individuals with motor impairments. Through this pioneering research, Rusyidi is helping to unlock new possibilities in human-robot collaboration, bridging the gap between biological intention and mechanical action, and paving the way for more responsive, intelligent robotic systems that can adapt to human needs.