Hongjoo Jin

Papers

Total Citations

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About

Hongjoo Jin is a pioneering researcher in the field of robotic abrasive processing, with a focus on force control and automation for large-scale industrial applications. His work addresses critical challenges in grinding and sanding robots, particularly for large, complex surfaces where precision and uniformity are essential. Jin’s most notable contribution is the development of an impedance-based force control method using Model Prediction Optimization Control, detailed in his 2023 paper, which has garnered 27 citations. This approach enables floating-base grinding robots to maintain consistent contact force, significantly improving surface quality and operational safety. He has also advanced large-area sanding through a novel 4-point supported belt robot design, optimizing the process for convex surfaces and reducing working time. With a total of 37 citations across his top papers, Jin’s impact is growing, especially as industries demand more efficient and reliable robotic solutions for abrasion tasks. His comprehensive review of abrasion robotic solutions further underscores his role as a key synthesizer of knowledge in this niche. Jin’s work is vital for students and researchers interested in industrial robotics, control systems, and manufacturing automation.