Muhammad Ilhamdi Rusydi
Papers
11
Total Citations
98
H-Index
6
About
Muhammad Ilhamdi Rusydi is a robotics and biomedical engineering researcher whose work centers on human-machine interfaces, biosignal processing, and intelligent robot control systems. He is best known for pioneering the use of electrooculography (EOG) — signals generated by eye movement — to control robot manipulators, developing innovative mathematical frameworks including rotation matrices and affine transforms to translate gaze motion into precise robotic commands. His 2014 papers on these techniques have garnered 20 and 18 citations respectively, establishing him as a notable contributor to assistive robotics for individuals with disabilities. Rusydi has progressively expanded his research scope, integrating electromyography (EMG) and flex sensors with EOG to create hybrid, multimodal control systems capable of operating robot arms across two- and three-dimensional spaces. His 2018 work on 3D manipulator control using EOG signals and his flex sensor-EMG combination study reflect a commitment to increasingly naturalistic human-robot interaction. More recently, he has explored autonomous mobile robots guided by thermal stereo cameras and rehabilitation robotics for stroke survivors, demonstrating broad interdisciplinary reach. Across his body of work, Rusydi consistently prioritizes accessible, intuitive control solutions that empower people with motor impairments — making his research both technically rigorous and meaningfully human-centered.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Combination of Flex Sensor and Electromyography for Hybrid Control Robot15 citations · 2018
- 4Robot Control System Based on Electrooculography and Electromyogram12 citations · 2015
- 5Controlling 3-D Movement of Robot Manipulator using Electrooculography10 citations · 2018
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- 7
- 8Developing a two-link robot arm controller using voluntary blink.4 citations · 2014
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- 10