Papers
1
Total Citations
13
H-Index
1
About
Kim Pong Tan is a leading researcher in advanced robotic welding and manufacturing automation, with a focus on precision control systems for industrial applications. His work addresses critical challenges in multipass welding, particularly the suppression of seam boundary error propagation—a key issue affecting weld quality in automated systems. His most-cited paper (2018, 13 citations) introduces a novel feedforward compensation algorithm that transforms multipass welding into a closed-loop control problem, using a low-gain feedback controller to stabilize the baseline process. This contribution has significant implications for improving the accuracy and reliability of robotic welding in high-stakes industries like shipbuilding and aerospace. Tan’s research bridges theoretical control engineering and practical manufacturing, offering solutions that reduce rework and enhance productivity. His work is recognized for its technical rigor and direct industrial applicability, making him a notable figure in the field of mechatronics and automated manufacturing.
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