Papers
6
Total Citations
116
H-Index
4
About
Jinwoo Jeon is a robotics researcher whose work sits at the intersection of autonomous navigation, visual perception, and legged locomotion. His primary research areas include visual-inertial odometry (VIO), depth completion, and traversability analysis for quadruped robots. Jeon’s most impactful contribution, with 83 citations, is a comprehensive benchmark of VIO algorithms on NVIDIA Jetson platforms for micro aerial vehicles, providing the robotics community with critical performance insights for embedded deployment. He further advanced perception systems through Struct-MDC, an unsupervised depth completion method that leverages structural regularities from visual SLAM to generate dense depth maps from sparse feature-based estimates. For quadruped robotics, Jeon developed QR-SCAN, a lightweight trajectory-based system for traversable region scanning, and TROT-Q, which integrates obstacle-aware target tracking with terrain assessment. His work on intelligent control systems using fuzzy logic and neural networks for extreme terrain navigation demonstrates his commitment to enabling robots to operate in challenging, unstructured environments. Collectively, Jeon’s research bridges the gap between robust state estimation and practical deployment on resource-constrained platforms, making significant strides toward autonomous exploration in complex terrains.
Research Focus
Key Achievements
Top Papers
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