Tareg Mahmoud
Papers
1
Total Citations
2
H-Index
1
About
Tareg Mahmoud is a researcher in robotics and control systems, with a focus on dynamic modeling and fuzzy logic applications for autonomous balancing platforms. His work centers on the design and optimization of two-wheeled balancing robots, a key area in mobile robotics and mechatronics. In his most cited paper, "Pengaruh Jumlah Input Dan Membership Function Fuzzy Logic Control Pada Robot Keseimbangan Beroda Dua" (2019), Mahmoud developed a dynamic model for a two-wheeled balancing robot and compared two types of Fuzzy Logic Controllers (FLC) using the Mamdani method. One FLC used pendulum tilt angle as input to compute motor torque for maintaining balance. This contribution, though early in his career, has garnered 2 citations and demonstrates his foundational work in control system design and fuzzy logic optimization. Mahmoud’s research is particularly relevant for students and engineers interested in embedded systems, autonomous navigation, and intelligent control. His ongoing work continues to explore how input variables and membership functions affect robot stability, offering practical insights for real-world balancing robot applications.
Research Focus
Key Achievements
Top Papers
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