Husnawati Husnawati
Papers
4
Total Citations
17
H-Index
2
About
Husnawati Husnawati is a researcher specializing in robotics, swarm intelligence, and intelligent control systems, with a particular focus on practical applications in safety and automation. Her most recognized contributions center on the development of hybrid methods for gas leak localization using swarm robots, a pioneering area of research aimed at building reliable early-warning detection systems to mitigate environmental and safety hazards. This work, her most cited publication with 8 citations, demonstrates her commitment to bridging theoretical robotics with real-world problem-solving. Husnawati has also made notable contributions to mobile robot navigation optimization, exploring hybrid methodologies to enhance the reliability and efficiency of autonomous systems. Her research extends into formation control of multi-robot systems, where she proposed the application of interval type-2 fuzzy logic controllers to improve leader-follower robot coordination — an advancement over conventional type-1 fuzzy approaches. Additionally, her work on Sugeno fuzzy method-based navigation using Arduino microcontrollers reflects her dedication to accessible, implementable robotics solutions. With a body of work accumulating citations across multiple studies, Husnawati stands as a meaningful contributor to the fields of intelligent robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimisasi Mobile Robot Pendeteksi Sumber Gas Menggunakan Metode Hybrid5 citations · 2017
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