Papers

26

Total Citations

271

H-Index

9

About

Norsinnira Zainul Azlan is a robotics and biomedical engineering researcher whose work spans rehabilitation robotics, soft robotics, intelligent control systems, and wearable sensing technologies. She has made significant contributions to the development of assist-as-needed (AAN) control strategies for upper-limb rehabilitation, with her foundational 2019 paper accumulating 53 citations and establishing her as a notable voice in promoting active patient participation for motor recovery. Her research extends to pneumatic artificial muscle-driven robotic hands, where she has advanced nonlinear adaptive backstepping control algorithms for precise grasping and force regulation. Azlan has also contributed to mobile robotics, including a widely cited review of mecanum wheel robot prototypes, and to intelligent systems education, with her early work on fuzzy logic-controlled LEGO robots earning recognition in undergraduate engineering training. More recently, her investigations into wearable strain sensors and screen-printed piezoresistive devices reflect a growing focus on flexible, low-cost solutions for healthcare and human-machine interaction. With a cumulative citation profile exceeding 200, her interdisciplinary research bridges control engineering, rehabilitation medicine, and sensor technology, offering impactful tools for improving the quality of life for individuals with physical disabilities.

Research Focus

Key Achievements

9
H-Index
26
Papers
271
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Assist-as-needed control strategy for upper-limb rehabilitation based on subject’s functional ability
53 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: International Islamic University Malaysia, International Islamic University, Islamabad

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago