Sudchai Boonto
Papers
4
Total Citations
46
H-Index
4
About
Sudchai Boonto is a robotics researcher whose work focuses on the precision control of robot manipulators, particularly for manufacturing and human-robot interaction. His key research areas include contouring control, dual-arm robotic systems, and compliant control for physical human-robot interaction (pHRI). Boonto’s major contributions center on developing advanced control strategies to enhance the accuracy and safety of robotic systems. Notably, his 2021 paper on "Contouring Control of an Innovative Manufacturing System Based on Dual-Arm Robot" (18 citations) proposes a novel system using two five-degree-of-freedom (DOF) arms for machining, while his 2020 work on "On-line Self Tuning of Contouring Control" (18 citations) introduces adaptive methods for high-precision operations. His 2019 study on "Dual Loop Compliant Control Based on Human Prediction" (6 citations) addresses the critical trade-off between low operating force and high tracking accuracy in pHRI. Boonto’s research has been cited over 46 times, reflecting its relevance to improving robotic performance in industrial and collaborative settings. His work is particularly noted for generalizing the method of equivalent errors to constrained systems, as demonstrated in his 2017 paper on precision contouring control of 5 DOF dual-arm manipulators.
Research Focus
Key Achievements
Top Papers
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