U. Mamikoglu
Papers
2
Total Citations
16
H-Index
2
About
U. Mamikoglu’s research focuses on the intersection of electromyography (EMG), biomechanics, and bio-inspired robotics, with a particular emphasis on decoding human movement for prosthetic and rehabilitation technologies. Their major contributions include developing novel methodologies for estimating joint angles from surface EMG signals, enabling more intuitive control of robotic limbs and assistive devices. Notably, their 2016 paper on elbow joint angle estimation using integrated surface EMG (9 citations) demonstrates how muscle activation patterns can be translated into precise movement commands, advancing bio-inspired approaches for prosthetics. Another key work, on EMG-based joint angle estimation and control of a robotic leg (7 citations), establishes a musculoskeletal model for antagonistic muscle pairs actuating the ankle joint, with applications in physiotherapy and robotics. Mamikoglu’s research has direct implications for improving the quality of life for amputees and individuals with motor impairments, bridging the gap between neural signals and mechanical actuation. Their work is a valuable resource for students and researchers in biomedical engineering, rehabilitation robotics, and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
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