Papers
9
Total Citations
60
H-Index
4
About
Rubiyah Yusof is a multidisciplinary researcher whose work spans intelligent robotics, environmental monitoring, and technology-enhanced education. Her most prominent contributions lie at the intersection of swarm intelligence and environmental crisis management, particularly in autonomous systems designed to detect and track oil spills on marine surfaces. Her most cited work, "Autonomous multi-robot tracking system for oil spills on sea surface based on hybrid fuzzy distribution and potential field approach" (2020, 34 citations), exemplifies her ability to synthesize advanced computational methods — including fuzzy logic and potential field algorithms — into practical, real-world solutions for one of the maritime industry's most pressing environmental challenges. This line of research, developed consistently from 2013 onward, demonstrates a sustained commitment to leveraging swarm robotics for ecological protection. Beyond environmental robotics, Yusof has made meaningful contributions to intelligent e-learning systems, developing Interactive Tutor Robot frameworks and decision-support tools aimed at enriching science and technology education through human-robot collaboration. Her work on automated tropical wood recognition further reflects a versatile research profile responsive to Malaysia's biodiversity conservation needs. Collectively, her portfolio reveals a researcher dedicated to applying intelligent systems where they can generate genuine societal benefit, making her work highly relevant for students exploring robotics, AI, and applied machine learning.
Research Focus
Key Achievements
Top Papers
- 1
- 2Interactive Tutor Robot for Collaborative e‐Learning System6 citations · 2018
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- 5Online System for Automatic Tropical Wood Recognition4 citations · 2019
- 6Hybrid Agent Tutor Model for e-Learning System with Robotics2 citations · 2014
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- 9Interactive Tutor Robot for Collaborative e-Learning System2 citations · 2017