Rawiphon Chotikunnan
Papers
10
Total Citations
109
H-Index
4
About
Rawiphon Chotikunnan is a rising leader in intelligent control systems for robotics, with a primary focus on enhancing the precision and energy efficiency of robotic manipulators. His most influential work, the "Dual Design PID Controller for Robotic Manipulator Application" (2023, 49 citations), introduces a novel architecture that reduces overshoot and conserves electrical energy—a significant contribution to industrial automation. He further advances the field by optimizing fuzzy control systems through PID-driven data techniques (26 citations) and integrating expert systems with fuzzy logic for adaptive control. Chotikunnan also explores computer vision, using ResNet18-based image segmentation to improve object detection in robotic applications (13 citations). His research extends to self-balancing wheelchairs, sensor fusion for angle estimation, and servo motor performance enhancement via PSO-tuned PID control. With a growing body of work that bridges classical control theory and modern AI, Chotikunnan is establishing himself as a versatile innovator in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Dual Design PID Controller for Robotic Manipulator Application49 citations · 2023
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- 5Hybrid Fuzzy-Expert System Control for Robotic Manipulator Applications4 citations · 2025
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- 10The application of PID control to robotic head2 citations · 2017