Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

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.

 

Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Dr. Aleksander Yurov | Don State Technical University | Russia

Prof. Aleksander Yurov is the Head of the Department of Digital Technologies and Platforms in the Electric Power Industry at Don State Technical University, leading multiple high-impact research and innovation initiatives. He serves as the principal executor of grants from the Russian Science Foundation and the Foundation for the Promotion of Innovation, working on programs such as START, DevelopmentNTI/Energynet, CODE-Digital Technologies, and Export, with a focus on “Resource-saving Energy” and “New Devices and Intelligent Production Technologies.” His research encompasses diagnostics of power cable lines, devices and methods for detecting damage to overhead lines, relay protection and emergency automation, and monitoring and analysis of insulation materials in distribution networks. Yurov has published over 60 scientific articles, holds four utility model patents, eight computer certificates, and has authored six textbooks, demonstrating a robust commitment to both academic scholarship and applied innovation. His completed and ongoing projects include a Russian Science Foundation grant on the vibrational-wave phenomena affecting dielectric composition and residual insulation life in power transmission lines, as well as projects on adaptive high-voltage power supply technology for intelligent diagnostic systems and the deployment of software-hardware complexes for distribution network diagnostics in international markets. He has actively contributed to consultancy and industry projects, totaling five, strengthening the bridge between research, practical implementation, and technological advancement in the electric power sector.

Profile: Scopus | Orcid

Featured Publications

  • Yurov, A. A. (2023). Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions. Electrical Stations.

  • Yurov, A. A. (2021). Determining the mode of operation of the system section, taking into account the current topology and predictive analysis of the active-adaptive network of 6-10 kV. Conference Paper.

  • Yurov, A. A. (2021). High-voltage smart electricity metering of 110 kV digital electric networks. Conference Paper.

  • Yurov, A. A., & Voronov, A. S. (2021). Improving the efficiency of technical means and methods for diagnostics of isolation of high-voltage distribution networks. IOP Conference Series: Materials Science and Engineering, 1029(1), 012038.

  • Yurov, A. A., Minkin, M. S., & Kuimov, D. N. (2021). Schemes of high-voltage rectifiers as part of dust removal electric gates. IOP Conference Series: Materials Science and Engineering, 1029(1), 012044.