Papers
2
Total Citations
19
H-Index
2
About
Jisung Park is a robotics researcher specializing in autonomous navigation and pose estimation, with a focus on underwater and intervention tasks. His work centers on developing high-precision, vision-based methods for estimating the position and orientation of vehicles relative to their environment, using only monocular cameras. Park’s most cited paper, "Model-referenced pose estimation using monocular vision for autonomous intervention tasks" (2019, 14 citations), introduces a framework that leverages 3D models to enable accurate spatial awareness for robotic manipulation in complex settings. Building on this, his earlier study "High-precision underwater navigation using model-referenced pose estimation with monocular vision" (2016, 5 citations) demonstrates the application of this technique to underwater vehicles, allowing them to navigate relative to submerged structures with enhanced precision—a critical capability for subsea inspection and intervention. Though his citation counts reflect a focused, emerging impact, Park’s contributions are notable for bridging model-based tracking and real-world autonomous systems, offering practical solutions for challenging environments where GPS is unavailable. His work holds promise for advancing robotics in marine exploration and industrial automation.
Research Focus
Key Achievements
Top Papers
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