Suwito Suwito
Papers
2
Total Citations
5
H-Index
2
About
Suwito Suwito is a researcher focused on intelligent robotics and autonomous systems, with key contributions in mobile surveillance and hazardous environment detection. His work centers on applying fuzzy logic control to enhance robotic navigation and stability. In his 2016 paper on a three-axis camera stabilization system for mobile surveillance robots, he developed a fuzzy control method that significantly improves image clarity during remote military reconnaissance, directly addressing the need to keep human operators out of harm’s way. His 2018 study on an omni-directional robot for gas source localization, controlled by fuzzy logic on an ARM STM-32 microcontroller, tackles the critical challenge of undetected gas leaks that can lead to fires or explosions. By enabling robots to autonomously navigate and pinpoint leak sources, Suwito’s research advances practical safety solutions. Though his most-cited works have modest citation counts, they represent foundational steps in integrating fuzzy logic with embedded systems for real-world robotics, demonstrating a clear impact on applied engineering in surveillance and industrial safety.
Research Focus
Key Achievements
Top Papers
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