Papers
7
Total Citations
98
H-Index
6
About
Mohannad Farag is a robotics researcher whose work bridges industrial automation and assistive technology, with a focus on computer vision, grasping, and prosthetic systems. His key research areas include deep learning–based object detection for robotic manipulation, force control in pneumatic artificial muscle (PAM)–driven hands, and affordable prosthetic devices for children. Farag’s major contributions include developing real-time vision-guided grasping systems for Selective Compliant Assembly Robot Arms (SCARA), achieving 22 and 20 citations respectively for his 2019 papers on object detection and localization in industrial settings. He also pioneered adaptive backstepping control for PAM-actuated anthropomorphic hands, addressing nonlinear dynamics and slippage detection—work that has accumulated over 24 citations. Notably, Farag has advanced accessible prosthetics, designing a 3D-printed robotic arm with a grasping detection system for children (13 citations) and a patient-monitoring prosthetic arm (14 citations). His research demonstrates how affordable, vision-integrated robotic systems can enhance both manufacturing efficiency and the quality of life for individuals with disabilities.
Research Focus
Key Achievements
Top Papers
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- 43D Printed Prosthetic Robot Arm with Grasping Detection System for Children13 citations · 2023
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