Ichlasul Akmali Rizky
Papers
1
Total Citations
2
H-Index
1
About
Ichlasul Akmali Rizky is a researcher focused on advancing intelligent control systems for autonomous service robots, with a particular emphasis on fuzzy logic applications in navigation and steering. His most-cited work, "Practical implementation of a type-2 fuzzy logic controller for steering a service robot" (2025, 2 citations), addresses a critical challenge in wheeled robot locomotion: achieving precise and robust maneuvering in dynamic environments. By implementing a type-2 fuzzy logic controller, Rizky’s research enhances a robot’s ability to handle uncertainty and variability in real-world conditions, improving steering accuracy and overall navigation performance. This contribution is significant for the development of more reliable service robots that assist humans in tasks ranging from domestic chores to industrial support. Although his citation count is still growing, Rizky’s work represents a practical step toward bridging theoretical fuzzy control methods with real-world robotic applications. His research is particularly valuable for students and engineers seeking to understand how advanced control strategies can be deployed in physical systems, offering a clear example of translating complex algorithms into functional robotic behavior.
Research Focus
Key Achievements
Top Papers
- 1