Nur Atiqa Natrah
Papers
1
Total Citations
7
H-Index
1
About
Nur Atiqa Natrah is a researcher whose work lies at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on service robots operating in structured indoor environments. Her most-cited paper, "Object Tracking and Following Robot Using Color-Based Vision Recognition for Library Environment" (2018, 7 citations), introduces a practical application of color-based vision recognition to enable robots to autonomously track and follow humans in library settings—a contribution that anticipates the growing role of service robots in everyday spaces. This work, situated within the context of Industry 4.0, demonstrates how low-cost, vision-driven systems can enhance human-robot coexistence. Natrah’s research addresses key challenges in real-world deployment, such as reliable object tracking and environmental adaptability, making her contributions valuable for students and engineers developing assistive robotics. Her work underscores the potential for robots to seamlessly integrate into public and professional environments, paving the way for more intuitive and accessible human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1