Ahmad Fathonih
Papers
1
Total Citations
13
H-Index
1
About
Ahmad Fathonih is a researcher specializing in robotics, control systems, and fuzzy logic applications, with a particular focus on industrial automation. His most cited work, "Design of Automatic Goods Carrier Robot System Based on Line Sensor and Fuzzy Logic Control Mamdani" (2020, 13 citations), addresses a critical gap in autonomous material handling. While most automatic goods carrier robots rely on human control, Fathonih's contribution lies in developing a system that integrates line sensors with Mamdani-type fuzzy logic control, enabling more intelligent, adaptive navigation without constant human intervention. This work demonstrates his ability to bridge theoretical control methods with practical robotics challenges, offering a scalable solution for industrial environments. Though his citation count is modest, the research reflects a targeted effort to reduce human dependency in logistics and manufacturing—a growing priority in Industry 4.0. Fathonih's work is particularly valuable for students and engineers exploring low-cost, sensor-based automation, as it provides a clear framework for implementing fuzzy logic in real-world robotic systems. His focus on accessible, applied robotics positions him as a contributor to the ongoing shift toward autonomous industrial systems.
Research Focus
Key Achievements
Top Papers
- 1