Byung-Seung Jeon

Korea University, Samsung (United States)

Papers

Total Citations

H-Index

About

Byung-Seung Jeon is a robotics researcher whose work centers on autonomous navigation, multi-agent coordination, and 3D environmental perception for mobile robots. His most influential contribution, "Stereo vision based 3D modeling system for mobile robot" (2010, 10 citations), pioneered the use of stereo cameras to generate detailed 3D models of indoor environments, enabling robots to perform high-level tasks such as path planning and object recognition. This work addressed a critical challenge in robotics: providing machines with rich spatial understanding for safe and efficient movement. Jeon further advanced the field with his study on "Obstacle Avoidance Method for Multi-Agent Robots Using IR Sensor and Image Information" (2012, 3 citations), where he developed a real-time information-sharing framework that allows multiple robots to collaboratively detect and avoid obstacles in unknown environments. By integrating infrared sensors with vision systems, his method enables scout and industrial robots to dynamically select optimal paths, enhancing both safety and operational efficiency. Though his citation counts reflect focused, early-career contributions, Jeon’s research has practical implications for warehouse automation, search-and-rescue missions, and collaborative robotics, demonstrating how sensor fusion and shared intelligence can transform autonomous systems.