Rizki Kurniati
Papers
2
Total Citations
7
H-Index
2
About
Rizki Kurniati’s research lies at the intersection of robotics, computer vision, and intelligent control systems, with a focus on developing autonomous mobile robots for real-world applications. Her work on facial landmark detection introduced a novel technique using auto-extracted points around the outer corner of the nose to create geometric invariants for face recognition, enabling a face-follower mobile robot to track and respond to human presence. This paper has garnered 5 citations, reflecting its practical relevance in human-robot interaction. In parallel, Kurniati addressed critical challenges in hazardous environment monitoring through her fuzzy hierarchical model combined with particle swarm optimization for gas leakage detector mobile robots. Her approach tackles the complexities of vast search spaces and environmental uncertainty, offering an efficient path-planning solution for autonomous gas leak detection. Although early in her career, her contributions demonstrate a clear commitment to bridging theoretical algorithms with tangible robotic systems, particularly in safety and assistive technologies. Her work continues to inspire further research in intelligent robotics and embedded vision systems.
Research Focus
Key Achievements
Top Papers
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