Lingbao Kong

Papers

Total Citations

197

H-Index

About

Lingbao Kong is a leading researcher in advanced manufacturing and robotics, with a primary focus on precision robotic manipulation and automated surface finishing. His work addresses critical challenges in industrial robotics, particularly the inherent motion errors that limit the application of six-degree-of-freedom (6-DOF) manipulators in high-precision tasks. Kong’s major contributions include developing novel modeling and compensation strategies for kinematic errors, leveraging machine learning and artifact-based measurement techniques to enhance robotic accuracy. His landmark 2022 study, "Review on robot-assisted polishing: Status and future trends," has garnered 139 citations, establishing him as a key voice in the field of automated polishing. Another highly influential paper, "Precision measurement and compensation of kinematic errors for industrial robots using artifact and machine learning" (53 citations), demonstrates his innovative integration of data-driven methods with traditional metrology. Kong’s work is pivotal for industries seeking to deploy cost-effective, flexible robotic systems for tasks like polishing, where precision is paramount. His research bridges the gap between theoretical error modeling and practical industrial implementation, making him a notable figure in modern robotics and manufacturing engineering.