Ramhuzaini Abd Rahman
University of Manitoba, Tun Hussein Onn University of Malaysia
Papers
2
Total Citations
14
H-Index
2
About
Ramhuzaini Abd Rahman is a researcher specializing in bio-inspired robotics and rehabilitation engineering, with a focus on pneumatic artificial muscles (PAMs) and cloud-based medical training systems. His major contributions include the design and experimental evaluation of a dynamical adaptive backstepping-sliding mode control scheme for positioning antagonistically paired PAM-driven actuating systems, addressing challenges like air compressibility and hysteresis in soft robotics. This work, published in 2016, has garnered 11 citations, underscoring its impact on advancing servo control for bio-inspired robotic applications. Additionally, Rahman led the system-level design of a cloud-based training device for upper limb spasticity rehabilitation, integrating clinical data from a cloud database to enhance pre-clinical training for medical personnel using the Modified Ashworth Scale. This 2017 paper, with 3 citations, highlights his innovative approach to merging robotics with digital health. Rahman’s research bridges control theory and practical rehabilitation, offering scalable solutions for both robotic actuation and medical education. His work is particularly notable for its potential to improve assistive technologies and clinical training, making him a key figure in the intersection of robotics, control systems, and healthcare innovation.
Research Focus
Key Achievements
Top Papers
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- 2