Byungkwan Jung

Naver (South Korea), Seoul National University

Papers

Total Citations

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About

Byungkwan Jung is a robotics researcher whose work focuses on the intersection of mobile robotics and computer vision, with a particular emphasis on precision manufacturing and automation. His key contributions lie in developing advanced control systems for mobile manipulators, specifically addressing the challenge of achieving high-precision trajectory tracking and task execution on moving platforms. Jung’s most cited work, "Large Size Painting with Infraless Vision-aided Mobile Robot" (2018, 4 citations), introduces the LSP-Bot, a mobile robot designed for large-scale painting. The paper’s core innovation is a dual-principle system that uses visual error compensation to correct localization drift from wheel odometry and IMU sensors, combined with a wide marker system for robust positioning. This approach enables the robot to maintain accuracy over extended operations, a critical requirement for industrial applications. In his subsequent work, "Trajectory Tracking of End Effector on Mobile Robot with Multiple Onboard Cameras" (2019, 2 citations), Jung extends this concept by optimizing the relative position of the end effector and employing visual feedback for real-time position compensation. By integrating holonomic robot kinematics with a redundant system of onboard cameras, he demonstrates a method for precise end-effector control that compensates for the inherent instability of a moving base. Jung’s research is notable for its practical engineering solutions that bridge the gap between theoretical robotics and real-world industrial deployment, offering a scalable approach to automation in large-scale manufacturing environments.