Noor Azuan Abu Osman
Papers
9
Total Citations
93
H-Index
6
About
Noor Azuan Abu Osman is a leading researcher in biomechatronics and rehabilitation robotics, with a focus on developing intelligent prosthetic systems that restore natural locomotion for individuals with lower-limb amputations. His work integrates robotics, neural networks, and nonlinear dynamics to design adaptive, energy-efficient prosthetic knees and ankle-foot systems. Among his key contributions is a cerebellum-inspired neural network that solves inverse kinematics for robotic manipulators, and a robotic model of transfemoral amputee locomotion that optimizes knee controller design—cited 20 and 18 times respectively. He has pioneered the use of nonlinear autoregressive networks with exogenous inputs (NARX) to generate robust, adaptive walking patterns for prosthetic ankles, and developed a novel wrist prosthesis system using ultrasonic sensors. His research also explores pneumatic artificial muscles for biomedical applications and sensorless control systems for assistive robotic ankles. With over 90 citations across his most-cited works, Abu Osman’s impact is evident in his ability to bridge computational modeling, mechanical design, and clinical application. His recent work analyzing human gait as a chaotic time series further underscores his commitment to advancing prosthetic control through a deep understanding of human movement dynamics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Pneumatic Artificial Muscle in Biomedical Applications11 citations · 2007
- 6
- 7
- 8Sensorless control system for assistive robotic ankle-foot4 citations · 2018
- 9