Papers
3
Total Citations
31
H-Index
2
About
I. Zunaidi’s research lies at the intersection of autonomous robotics and human–machine interaction, with a particular focus on navigation systems and gesture-based communication. His most cited work, “Path planning based on geographical features information for an autonomous mobile robot” (2006, 20 citations), introduced a novel approach that enables robots to navigate unknown environments by leveraging real-time camera input to recognize and map geographical elements. This foundational contribution was further developed in his 2011 study on environmental mapping, which demonstrated how a mobile robot could autonomously generate a navigable map using only visual feature extraction—a key step toward truly self-guided systems. Expanding into human–robot interaction, Zunaidi’s 2018 paper proposed an ontological framework for interpreting arm gestures, bridging the gap between raw motion data and semantic understanding for upper-body communication. While his citation counts reflect a focused but growing impact, his work is notable for its early integration of geographical feature analysis into real-time robotic path planning, a concept that remains relevant in modern autonomous systems. For students and researchers, Zunaidi’s trajectory illustrates how foundational work in sensor-based navigation can evolve into richer, context-aware human–robot collaboration.
Research Focus
Key Achievements
Top Papers
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