Papers

4

Total Citations

20

H-Index

3

About

P. Koseeyaporn is a robotics researcher whose work bridges simulation, control, and real-world automation. Their key research areas include robot simulation environments, fuzzy logic-based control, and adaptive stabilization for robotic manipulators. Koseeyaporn’s major contributions include developing a Windows-based graphical simulation tool with a built-in LISP interpreter, enabling users to model and manipulate robots in 3D—a foundational resource for robotics education and prototyping. They also designed fuzzy behavior architectures for mobile robots, combining emergency, obstacle avoidance, and wall-following behaviors into complex autonomous systems. In industrial contexts, Koseeyaporn advanced welding automation by creating fuzzy logic controllers for continuous surface tracking, decoupling toolset control from inverse kinematics for broader applicability. Notably, their work on Kalman filtering adaptive stabilization addressed the challenge of robot manipulator control under sea wave interference, proposing a model-based adaptive controller to maintain target position on floating platforms. With over 20 citations across their most cited papers, Koseeyaporn’s research demonstrates a consistent focus on practical, intelligent control systems—from simulation tools to maritime robotics—making their work relevant for students and researchers in robotics, automation, and adaptive control.

Research Focus

Key Achievements

3
H-Index
4
Papers
20
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Windows-based robot simulation tools
9 citations · 2004
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Vanderbilt University, Tennessee State University, King Mongkut's University of Technology North Bangkok

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago