Phichitphon Chotikunnan
Rangsit University, King Mongkut's University of Technology Thonburi
Papers
13
Total Citations
144
H-Index
5
About
Phichitphon Chotikunnan is a rising researcher in intelligent control systems and robotics, with a primary focus on advancing robotic manipulator applications through innovative control strategies. His work centers on developing sophisticated controllers that combine proportional–integral–derivative (PID) architectures, fuzzy logic, expert systems, and iterative learning control to enhance precision, stability, and energy efficiency in robotic systems. His most cited paper, "Dual Design PID Controller for Robotic Manipulator Application" (2023, 49 citations), introduces a novel dual-design PID controller that reduces overshoot and conserves electrical energy—a significant contribution to industrial automation. Another highly influential work, "Optimizing Membership Function Tuning for Fuzzy Control of Robotic Manipulators Using PID-Driven Data Techniques" (26 citations), addresses the critical challenge of automating fuzzy controller design. Chotikunnan has also explored robotic vision, applying ResNet18-based image segmentation for object detection in industrial settings. With over 130 total citations across his publications, his research demonstrates growing impact, particularly in bridging theoretical control methods with practical implementation. His recent work on hybrid fuzzy-expert systems and adaptive control for self-balancing wheelchairs showcases his commitment to solving real-world engineering challenges, making him a promising voice in the field of intelligent robotics and control.
Research Focus
Key Achievements
Top Papers
- 1Dual Design PID Controller for Robotic Manipulator Application49 citations · 2023
- 2
- 3
- 4
- 5
- 6
- 7Hybrid Fuzzy-Expert System Control for Robotic Manipulator Applications4 citations · 2025
- 8
- 9
- 10