Jae Ho Lee

Papers

Total Citations

185

H-Index

About

Jae Ho Lee is a leading figure in the field of robotic machining, with a focused expertise in precision manufacturing and process optimization. His most significant contribution is the comprehensive review "Robotic Machining: A Review of Recent Progress" (2019), which has garnered 137 citations and serves as a foundational resource for researchers and engineers working to enhance the accuracy and efficiency of robotic material removal processes. Building on this work, Lee developed a novel "Posture optimization in robotic drilling using a deformation energy model" (2022, 48 citations), a highly cited paper that introduces a physics-based approach to minimize tool deflection and improve hole quality in aerospace and automotive applications. This work is notable for its practical impact on reducing machining errors in flexible robotic systems. Lee’s research bridges the gap between theoretical modeling and industrial implementation, addressing critical challenges in stiffness modeling, path planning, and chatter suppression. His contributions have been widely adopted by both academic labs and manufacturing industries, positioning him as a key innovator in the advancement of smart, adaptive robotic manufacturing systems.