Huafeng Wen

Papers

Total Citations

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About

Huafeng Wen is a robotics researcher whose work centers on the development of intelligent mobile robots for specialized industrial and maintenance applications. His primary contributions lie in the fields of autonomous navigation and robotic cleaning systems. In a highly cited 2015 study, Wen pioneered the use of ultra-wide-band (UWB) wireless localization for substation inspection robots, proposing a weighted K-nearest neighbors algorithm that significantly enhances positioning accuracy in complex, GPS-denied environments. This foundational work, with 9 citations, has advanced the reliability of autonomous robotic patrols in critical power infrastructure. Wen also made notable strides in service robotics with his 2017 design of a glass-curtain wall-cleaning robot. This system, which operates without a dedicated walking mechanism by moving directly on smooth glass surfaces, addresses the growing demand for safe, automated building maintenance. By tackling the practical challenges of precise localization and surface adhesion, Wen’s research directly contributes to safer, more efficient automation in both industrial inspection and urban maintenance, marking him as a key contributor to applied robotics.