Huaiyu Wu

Wuhan University of Science and Technology, Tongji University

Papers

Total Citations

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About

Huaiyu Wu is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and visual odometry for mobile robotic systems. His most recognized contribution is a comprehensive 2012 survey on SLAM in mobile robotics, which has garnered 13 citations and serves as a valuable reference for researchers entering the field. The paper systematically examines how robots can construct maps and localize themselves within unknown environments — a foundational challenge in autonomous systems research. Building on this foundation, Wu has extended his investigations into more specialized and technically demanding scenarios. His 2020 work on direct sparse visual odometry addresses a critical limitation of traditional visual SLAM approaches: their poor performance in low-texture indoor environments such as long corridors. By incorporating structural regularities, his method offers more robust localization where conventional feature-based techniques typically fail. This progression from broad survey work to targeted algorithmic innovation reflects Wu's evolving expertise and his commitment to advancing practical robotics applications. His research is particularly relevant for students and engineers working on indoor autonomous navigation, service robotics, and real-world deployment of SLAM systems in challenging, feature-sparse environments.