Norzalilah Mohamad Nor
Papers
16
Total Citations
195
H-Index
8
About
Dr. Norzalilah Mohamad Nor is a robotics researcher whose work bridges bio-inspired locomotion, intelligent manufacturing, and autonomous navigation. Her research primarily focuses on central pattern generator (CPG)-based control for snake-like robots, where she has made foundational contributions to smooth body shape transitions and obstacle avoidance—enabling more natural, adaptive movement in serpentine robots. Her 2013 paper on CPG-based body shape control has garnered 34 citations, while her 2014 work on CPG-driven obstacle avoidance has been cited 24 times, reflecting sustained interest in her biomimetic approaches. More recently, Dr. Mohamad Nor has advanced Industry 4.0 applications, developing deep learning-empowered digital twin systems that use acoustic signals for automated welding quality inspection—a 2023 paper with 27 citations. She has also contributed to dynamic obstacle avoidance in mobile robot formations, with a 2024 paper on an improved Dynamic Window Approach algorithm accumulating 25 citations. Her comprehensive 2025 review on control strategies for two-wheeled self-balancing robots further demonstrates her breadth, offering a valuable resource for researchers tackling underactuated systems. Through her work, Dr. Mohamad Nor continues to shape both theoretical understanding and practical deployment of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Smooth transition for CPG-based body shape control of a snake-like robot34 citations · 2013
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- 5CPG-based locomotion control of a snake-like robot for obstacle avoidance24 citations · 2014
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- 9STUDY OF FRICTION COMPENSATION MODEL FOR MOBILE ROBOT’S JOINTS6 citations · 2024
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