Sari Kartini
Papers
2
Total Citations
20
H-Index
2
About
Sari Kartini is a researcher in robotics and intelligent control systems, with a focus on mobile robot navigation and human-robot interaction. Her work centers on applying fuzzy logic and neural network techniques to enable robots to operate autonomously in dynamic environments, particularly for domestic and industrial assistance. Her most-cited paper, "Performance Comparison of Fuzzy Logic and Neural Network Design for Mobile Robot Navigation" (2019, 15 citations), provides a comparative analysis of these two control approaches, demonstrating their effectiveness in helping robots navigate complex, real-world settings. She further contributed to the field with "Desain Robot Pengikut Manusia Sederhana dengan Fuzzy Logic Controller" (2020, 5 citations), which explores the design of a simple human-following robot using fuzzy logic control—a practical step toward assistive robotics. Kartini’s research addresses the growing need for automation in everyday life, from dull or dangerous tasks to seamless human-robot collaboration. Her work, though early in citation impact, lays important groundwork for accessible, intelligent robotic systems that can adapt to human environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Desain Robot Pengikut Manusia Sederhana dengan Fuzzy Logic Controller5 citations · 2020