M. Rozailan
Papers
1
Total Citations
2
H-Index
1
About
M. Rozailan is a robotics researcher whose work focuses on autonomous navigation and environmental perception for mobile robots. His most-cited paper, "Environmental map for autonomous navigation system using geographical feature elements information" (2011), addresses a fundamental challenge in robotics: enabling a robot to navigate through unknown environments by constructing an environmental map in real time. In this work, Rozailan developed a system that uses camera-captured images to analyze and recognize geographical feature elements—such as landmarks or terrain characteristics—allowing the robot to build a spatial understanding of its surroundings without prior knowledge of the area. This contribution is significant for advancing autonomous navigation in unstructured or unfamiliar settings, with applications in field robotics and exploration. While his citation count (2 citations for this paper) reflects a niche but focused impact, his research demonstrates a clear commitment to solving practical problems in robot autonomy. Rozailan’s work is particularly relevant for students and researchers interested in sensor-based mapping, computer vision for robotics, and the integration of environmental cues into navigation algorithms.
Research Focus
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Top Papers
- 1