Salinda Buyamin
Papers
17
Total Citations
242
H-Index
9
About
Salinda Buyamin is a robotics and control systems researcher whose work spans autonomous mobile robotics, intelligent control, and agricultural automation. Best known for foundational contributions to two-wheeled inverted pendulum (TWIP) robot systems, Buyamin has advanced the field through dynamic modeling, Takagi-Sugeno fuzzy approaches, and comparative controller analyses — work that collectively draws nearly 75 citations and continues to influence mobile robot design. His research into balancing control, velocity tracking, and nonlinear PID methods reflects a sustained commitment to solving inherently unstable, real-world robotic challenges. Beyond mobile platforms, Buyamin has made notable strides in applied robotics, including multi-objective route planning for underwater cleaning robots and variable-rate pesticide application systems for greenhouse agriculture, each earning over 30 citations. His intelligent speed control work employing Brain Emotional Learning-Based Intelligent Control (BELBIC) for hybrid stepper motors demonstrates a flair for biologically inspired approaches under uncertain conditions. More recently, his adaptive fuzzy-genetic algorithms for flexible manufacturing scheduling signal a broadening research agenda. Across all these domains, Buyamin's work exemplifies the integration of intelligent control theory with practical automation challenges, making him a valuable reference point for students navigating robotics, control engineering, and smart manufacturing research.
Research Focus
Key Achievements
Top Papers
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- 5Dynamic Modeling and Analysis of a Two-Wheeled Inverted Pendulum Robot26 citations · 2011
- 6Takagi-Sugeno fuzzy modeling of a two-wheeled inverted pendulum robot20 citations · 2013
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