Ph.D. student Jisung Park was selected as one of Asian Federation of Computer Vision(AFCV) Best Robot Vision Paper Award winners of Korea Robotics Society (KROS) 2016 held in Pyeongchang, Republic of Korea

Jisung's work entitled "Model-based pose estimation for underwater autonomous manipulation" showed a new way for high-precise underwater navigation called model-referenced underwater navigation of underwater robot in structured underwater environment. The main idea is that a spatial information with respect to a structured environment is utilized for enabling the underwater robot to navigate by minimizing drift error accumulated in the time arising from sensor biases. For generating the spatial information 3D model-based tracking, which is computer vision algorithm is introduced in the proposed navigation algorithm.