Jiseock Kang

Papers

Total Citations

H-Index

About

Jiseock Kang is a robotics researcher whose work bridges 3D computer vision and human-robot interaction, with a focus on enabling precise teleoperation and geometric reconstruction from monocular inputs. His key research areas include 3D reconstruction of thin, textureless structures, and human-in-the-loop systems for robotic control. Kang’s major contribution is the development of an online 3D edge reconstruction framework that recovers wiry structures—such as cables, wires, or skeletal frameworks—from monocular image sequences, overcoming challenges like self-occlusion and lack of texture. This work has garnered 4 citations since 2023. More recently, his 2025 paper on human-in-the-loop Gaussian splatting for robotic teleoperation introduces a novel approach that replaces traditional tunnel-vision camera feeds with a third-person 3D view, providing operators with rich spatial context and clear collision clearances. This innovation directly addresses a critical safety gap in teleoperation, earning 3 citations in its first year. Kang’s work is notable for its practical impact on real-world robotic tasks, where precise spatial awareness is essential. His research is particularly valuable for students and engineers working on teleoperation systems, visual reconstruction, and human-robot collaboration.