Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award
Dr. Gun Rae Cho | Korea Institute of Robotics and Technology Convergence | South Korea
Dr. Gun Rae Cho has significantly advanced the field of underwater robotics through pioneering research in autonomous marine systems, intelligent control, and mission-resilient subsea technologies. With 435 citations across 401 documents, 46 publications, and an h-index of 10, he has established a strong scientific footprint in marine autonomy and robotic innovation. His work encompasses robust control of AUVs, relative-motion–based multi-thruster coordination, and adaptive maneuvering strategies that ensure stability, precision, and reliability in turbulent, shallow-water, and highly turbid environments. Dr. Cho has led the development of digital-twin inspection systems for ports, dams, locks, and subsea infrastructure, integrating imaging sonar, inertial navigation, acoustic sensing, and AI-driven perception for high-fidelity autonomous inspection. He has also contributed to next-generation diver-assistance robotics and advanced teleoperation-assistance technologies for underwater manipulators, improving safety and efficiency in complex intervention tasks. Through leadership in major national R&D projects, he has strengthened Korea’s capabilities in maritime search operations, underwater infrastructure O&M, autonomous robotic fleets, and heavy-duty ROV industrialization. His extensive collaborations with universities, research institutes, and industry have produced practical robotic platforms and inspection solutions that support marine safety and technological growth. Collectively, his contributions position Korea at the forefront of intelligent ocean-technology development.
Profiles: Scopus | Orcid
Featured Publications
Cho, G. R., Kang, H., Li, J.-H., Kim, M.-G., Jin, H., Lee, M.-J., & Jin, S. (2025). Estimation of hydrodynamic coefficients for the underwater robot P-SUROII via constraint recursive least squares method. Journal of Marine Science and Engineering, 13(9), Article 1610.
Cho, G. R., Kang, H., Kim, M.-G., Lee, M.-J., Li, J.-H., Kim, H., Lee, H., & Lee, G. (2023). An experimental study on trajectory tracking control of torpedo-like AUVs using coupled error dynamics. Journal of Marine Science and Engineering, 11(7), Article 1334.
Li, J.-H., Kang, H., Kim, M.-G., Lee, M.-J., Cho, G. R., & Jin, H.-S. (2022). Adaptive formation control of multiple underactuated autonomous underwater vehicles. Journal of Marine Science and Engineering, 10(9), Article 1233.
Cho, G.-R., Ki, G., Lee, M.-J., Kang, H., Kim, M.-G., & Li, J.-H. (2021). Experimental study on tele-manipulation assistance technique using a touch screen for underwater cable maintenance tasks. Journal of Marine Science and Engineering, 9(5), Article 483.
Li, J.-H., Lee, M.-J., Kang, H., Kim, M.-G., & Cho, G. R. (2021). Design, performance evaluation, and field test of a water jet tool for ROV trencher. Journal of Marine Science and Engineering, 9(3), Article 296.
Cho, G. R., Ki, H., Li, J.-H., Lee, M., & Jee, S. C. (2018). Assisted teleoperation for underwater manipulation utilizing touch screen inputs. 2018 15th International Conference on Ubiquitous Robots (UR), 271–276.