Hongyu Wei

Southeast University, Chienkuo Technology University

Papers

Total Citations

H-Index

About

Hongyu Wei is a researcher specializing in robotics, computer vision, and autonomous navigation systems, with particular expertise in simultaneous localization and mapping (SLAM) and visual-inertial odometry (VIO). His work addresses some of the most challenging problems in mobile robotics, including robust state estimation in complex and dynamic real-world environments. Wei's most recognized contribution is GMSK-SLAM, an innovative RGB-D SLAM framework developed in 2021 that incorporates dynamic area detection to maintain accurate mapping and localization even when moving objects are present — a persistent challenge in practical robotics deployments. This work has garnered 23 citations, reflecting its relevance to the research community. Building on this foundation, his 2022 paper introduced a fast VIO system leveraging both point and line features through an adaptive EDLines algorithm, effectively improving tracking robustness in texture-poor environments — accumulating 14 citations. His earlier work on Delta robot design and simulation demonstrates a broader grounding in mechanical systems and robotics integration across industrial applications. Collectively, Wei's research bridges perception, state estimation, and robotic system design, making meaningful contributions to the development of more reliable and versatile autonomous systems suitable for real-world deployment.