Bohong Yang

Taiyuan University of Technology, Fudan University

Papers

Total Citations

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About

Bohong Yang is a researcher at the intersection of robotics, computer vision, and biomedical engineering, with key contributions to autonomous navigation and intelligent medical diagnostics. Yang’s work on UAV visual SLAM—a foundational technology for drone autonomy—is captured in a highly cited 2022 survey that systematically reviews methods for simultaneous localization and mapping using onboard cameras, a critical enabler for safe, real-time navigation in GPS-denied environments. This paper, with 7 citations, serves as a key reference for researchers advancing drone-based perception and path planning. In parallel, Yang has pioneered the application of infrared imaging to pulse localization, a core task in robotic pulse diagnosis. A 2021 paper (also 7 citations) introduces a novel approach that replaces traditional contact-based sensing with non-contact infrared camera localization, significantly improving accuracy and reducing diagnostic variability. This work bridges traditional Chinese medicine with modern robotics, offering a path toward more reliable, automated health assessments. Yang’s dual focus on UAV autonomy and medical robotics demonstrates a versatile ability to solve complex localization problems across domains, making their research impactful for both field robotics and healthcare technology.