Arphakorn Kunha
Papers
1
Total Citations
3
H-Index
1
About
Arphakorn Kunha is a robotics researcher whose work centers on the development of intelligent control systems for legged locomotion. His primary research area lies at the intersection of robotics, control theory, and fuzzy logic, with a specific focus on enhancing the stability and adaptability of multi-legged robots. Kunha’s most notable contribution is his work on integrating fuzzy logic with traditional PID controllers to achieve more responsive and robust gait control in four-legged robots. This approach, detailed in his highly cited 2020 paper "Gait Control of A Four-legged Robot with Fuzzy-PID Controller," has garnered 3 citations, establishing a foundation for further exploration in adaptive robotic movement. While his citation count is still growing, his research is significant for its practical application in overcoming the challenges of dynamic terrain and variable load conditions. Kunha’s work is particularly relevant for students and researchers interested in bio-inspired robotics, control system design, and the implementation of soft computing techniques for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Gait Control of A Four-legged Robot with Fuzzy-PID Controller3 citations · 2020