Darwin Sebayang
Papers
1
Total Citations
17
H-Index
1
About
Darwin Sebayang is a researcher whose work sits at the intersection of control systems, robotics, and intelligent automation. His most-cited study, "An investigation on the application of fuzzy and PID algorithm in the two wheeled robot with self balancing system using microcontroller" (2015), has garnered 17 citations and stands as a key contribution to the field of mobile robotics. In this work, Sebayang pioneered the integration of fuzzy logic with traditional PID control to enhance the stability of two-wheeled, self-balancing robots under varying disturbance forces—changing in magnitude, position, and duration. By leveraging MATLAB Simulink for simulation, he demonstrated how hybrid control strategies can optimize real-time balancing performance, a challenge central to autonomous vehicle and assistive robotics development. His research bridges theoretical control algorithms and practical microcontroller implementation, offering a scalable framework for engineers and students working on dynamic stabilization systems. Sebayang’s work continues to inform advances in intelligent robotics, particularly in applications requiring robust, adaptive control in unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1