Nyayu Latifah Husni
Papers
19
Total Citations
159
H-Index
8
About
Nyayu Latifah Husni is an accomplished robotics and intelligent systems researcher whose work sits at the intersection of swarm robotics, fuzzy logic control, and smart environmental monitoring. Based on her most-cited publications, her research focuses on three core domains: autonomous mobile robot navigation, swarm robot coordination, and IoT-enabled waste management systems. Husni has made notable contributions to the field of swarm robotics, designing and implementing fuzzy logic-based controllers — including both Type-1 and Interval Type-2 variants — to enable robots to navigate, avoid obstacles, and maintain formation in real-world environments. Her 2019 work on swarm robot coordination (16 citations) and formation control (11 citations) demonstrates her sustained commitment to practical, multi-agent robotic systems. Her environmental applications are equally impactful. Her garbage monitoring system (18 citations) and autonomous trash-collecting robot projects reflect a meaningful effort to apply robotics to real-world sustainability challenges. Further deepening her technical breadth, she has explored odor classification using Support Vector Machines and gas-sensor-based odor localization with fuzzy logic algorithms. With a cumulative citation count exceeding 125 across her top ten papers, Husni's research stands as a valuable reference for students and professionals working in intelligent robotics, autonomous systems, and smart city technologies.
Research Focus
Key Achievements
Top Papers
- 1Garbage Monitoring and Warning System18 citations · 2019
- 2
- 3Analysis on swarm robot coordination using fuzzy logic16 citations · 2019
- 4
- 5
- 6Odor classification using Support Vector Machine12 citations · 2017
- 7Formation control design for real swarm robot using fuzzy logic11 citations · 2017
- 8Penerapan Sistem Pengolahan Citra Digital Pendeteksi Warna pada Starbot9 citations · 2020
- 9Cooperative searching strategy for swarm robot8 citations · 2017
- 10Odor localization using gas sensor for mobile robot6 citations · 2017