Abdul Mutolib
Papers
1
Total Citations
13
H-Index
1
About
Abdul Mutolib is a researcher whose work sits at the intersection of robotics, control systems, and fuzzy logic, with a particular focus on automating industrial processes. His most-cited paper, "Design of Automatic Goods Carrier Robot System Based on Line Sensor and Fuzzy Logic Control Mamdani" (2020, 13 citations), addresses a critical bottleneck in modern manufacturing: the reliance on human-operated material transport. By integrating line-following sensors with Mamdani-type fuzzy logic control, Mutolib’s system enables autonomous navigation and decision-making for goods carriers, reducing human intervention and improving efficiency. This contribution is especially relevant as industries push toward smart factories and Industry 4.0. While his citation count is modest, the work demonstrates a practical, applied approach to robotics—bridging theoretical control algorithms with real-world hardware implementation. Mutolib’s research is notable for its clarity in solving a tangible problem: how to make automated guided vehicles (AGVs) more adaptable to dynamic factory floors without complex programming. His findings offer a scalable framework for students and engineers entering the field of autonomous mobile robots, emphasizing low-cost sensor integration and rule-based decision-making. For those interested in the practical side of robotics and fuzzy control, Mutolib’s work provides a solid foundation for further innovation.
Research Focus
Key Achievements
Top Papers
- 1