Fahmi Samsuri
Papers
2
Total Citations
3
H-Index
1
About
Fahmi Samsuri’s research lies at the intersection of biomedical engineering and intelligent control systems, with a focus on assistive technologies and robotics. His most-cited work, “Offline EEG-Based DC Motor Control for Wheelchair Application” (2020), demonstrates a pioneering approach to brain-computer interfaces, enabling wheelchair control through electroencephalography (EEG) signals. This study, with 2 citations, lays groundwork for non-invasive mobility solutions for individuals with severe motor impairments. In his more recent 2025 paper, Samsuri introduces an innovative integration of adaptive PID and fuzzy logic controllers for robotic arms, achieving enhanced precision and stability by synergizing the robust stability of PID with the adaptive flexibility of fuzzy logic. This work, already garnering 1 citation, addresses critical challenges in industrial and medical robotics. Samsuri’s contributions are particularly notable for their practical applicability—bridging theoretical control theory with real-world assistive devices. His research holds promise for advancing autonomous wheelchairs and precision robotic systems, making him a rising figure in rehabilitation engineering and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Offline EEG-Based DC Motor Control for Wheelchair Application2 citations · 2020
- 2