Heeseok Shin

Papers

Total Citations

H-Index

About

Heeseok Shin is a robotics researcher whose work focuses on the automation of agricultural and industrial environments, with a particular emphasis on the navigation and control of cleaning robots. His most-cited paper, "Lateral Control Method of RDDF-based Cleaning Robot" (2024), addresses a critical bottleneck in agricultural product processing centers (APCs)—the accumulation of debris during the sorting, washing, and packaging of raw produce. Shin’s key contribution lies in developing a robust lateral control algorithm that enables cleaning robots to autonomously follow predefined paths (using Road Definition Data Format, or RDDF) while maintaining precise positioning on uneven or cluttered floors. This innovation directly improves operational efficiency in APCs, reducing the need for manual cleaning interventions. With 2 citations in its first year, the paper signals growing interest in practical, low-cost automation for post-harvest facilities. Shin’s work bridges the gap between theoretical control systems and real-world agricultural robotics, offering a scalable solution for maintaining hygiene in high-throughput food processing lines. His research is particularly relevant for students and engineers seeking to implement reliable autonomous navigation in messy, dynamic environments.