Papers

1

Total Citations

10

H-Index

1

About

Ulfiah is a researcher specializing in robotics and control systems, with a particular focus on the application of fuzzy logic to autonomous navigation. Her most-cited work, "Modeling Wall Tracer Robot Motion Based on Fuzzy Logic Control" (2020, 10 citations), addresses critical challenges in industrial and manufacturing automation. In this study, she developed a sophisticated model for wall-tracing robots—machines designed to follow surfaces autonomously—using fuzzy logic control to improve motion accuracy and adaptability in complex environments. This contribution is especially valuable for infrastructure inspection and factory logistics, where precise navigation is essential. Ulfiah’s work bridges the gap between theoretical control algorithms and practical robotic applications, offering solutions to common problems like sensor noise and unpredictable wall geometries. Her research has been cited by peers exploring intelligent robotics, highlighting its relevance in advancing autonomous systems. By integrating fuzzy logic into robot motion planning, Ulfiah has provided a foundation for more efficient and reliable automation technologies, making her a notable figure in the field of robotics and control engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Modeling Wall Tracer Robot Motion Based on Fuzzy Logic Control
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Sunan Gunung Djati State Islamic University Bandung

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago