Nurfadzylah Awang

Technical University of Malaysia Malacca

Papers

1

Total Citations

22

H-Index

1

About

Nurfadzylah Awang is a researcher at the forefront of intelligent robotics and computer vision, with a primary focus on developing autonomous navigation systems for mobile robots. Her most cited work, the 2018 review "Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review" (22 citations), provides a comprehensive synthesis of emerging vision technologies that enable robots to perceive and navigate their environments safely. This foundational contribution maps the critical technological elements—from sensor integration to real-time processing—that underpin modern robotic guidance systems. Awang’s research addresses the growing demand for vision-based solutions in industrial automation and service sectors, where computing advances have made sophisticated visual navigation increasingly viable. Her work bridges theoretical frameworks and practical implementations, offering valuable insights for both academic researchers and engineers developing next-generation autonomous systems. By systematically evaluating the state of the art, Awang has helped establish a roadmap for future innovations in mobile robot navigation, making her a notable voice in the field of intelligent robotics and human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review
22 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Technical University of Malaysia Malacca

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago