Withit Chatlatanagulchai
Papers
10
Total Citations
78
H-Index
6
About
Withit Chatlatanagulchai is a leading researcher in the control of flexible-joint robot manipulators, a field where even "rigid" industrial robots exhibit intrinsic joint flexibility that challenges high-performance control. His work masterfully integrates model-independent control strategies with intelligent systems, pioneering approaches that do not require precise mathematical models of the robot. Chatlatanagulchai’s major contributions include the development of backstepping control combined with neural networks for online adaptation, and the application of input shaping techniques to suppress residual vibration during fast point-to-point movements. His 2009 paper on model-independent control (16 citations) and his 2016 work on quantitative feedback input shaping (14 citations) are among his most influential, demonstrating robust performance even when mode parameters are uncertain. He has also addressed the difficult problem of configuration-dependent resonance in two-link manipulators. With a portfolio of over 60 citations, Chatlatanagulchai’s research provides practical, high-performance solutions for real-world flexible systems, from industrial robots to human-operated manipulators, making him a key figure in advancing intelligent, model-free control for complex robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Model-Independent Control of a Flexible-Joint Robot Manipulator16 citations · 2009
- 2Quantitative Feedback Input Shaping for Flexible-Joint Robot Manipulator14 citations · 2016
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