Sehwa Chun

PhD student specializing in Autonomous Underwater Vehicles with expertise in hardware design and software development for autonomous robots. Proficient in Python, C++, and ROS, with strong data analysis skills using MATLAB. Multilingual in Korean, Japanese, and English, adept at international collaboration.

Publications

Chun, S., La, H. S., Son, W., Kim, Y. C., Cho, K. H., & Yang, E. J. (2022). Detection method for diel vertical migration pattern using 2D cross‐correlation with ADCP backscatter time‐series data. Methods in Ecology and Evolution, 13(7), 1475-1487.

Chun, S., Kawamura, C., Ohkuma, K., & Maki, T. (2024). 3D Detection and Tracking of a Moving Object by an Autonomous Underwater Vehicle with a Multibeam Imaging Sonar: Toward Continuous Observation of Marine Life. IEEE Robotics and Automation Letters.

Weng, Y., Chun, S., Ohashi, M., Matsuda, T., Sekimori, Y., Pajarinen, J., ... & Maki, T. (2024). Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning. Journal of Field Robotics.

Weng, Y., Sekimori, Y., Chun, S., Alkhazragi, O., Matsuda, T., Trichili, A., ... & Maki, T. (2023). Scalable laser-based underwater wireless optical communication solution between autonomous underwater vehicle fleets. Applied Optics, 62(31), 8261-8271.

Institute of Industrial Science, the University of Tokyo