Sufang Wang

University of Science and Technology Beijing, North China University of Science and Technology, The Ohio State University

Papers

Total Citations

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About

Sufang Wang is a researcher whose work centers on the field of Simultaneous Localisation and Mapping (SLAM), a foundational technology enabling intelligent mobile robots to navigate and understand their environments autonomously. With a focused body of research spanning from 2018 to 2021, Wang has contributed meaningfully to the growing discourse around robot navigation systems, particularly through comparative and analytical examinations of both LiDAR-based and visual SLAM (VSLAM) algorithms. Her widely referenced 2018 overview of SLAM, which has garnered 7 citations, serves as an accessible entry point for researchers exploring this rapidly evolving field. Her subsequent works in 2020 and 2021 build upon this foundation, delving deeper into commonly used algorithmic solutions and their improvements, reflecting a sustained commitment to advancing the state of mobile robot intelligence. While Wang's citation record is still developing, her consistent focus on VSLAM — one of the most active research areas in robotics — positions her work as a useful reference for students and engineers working on autonomous systems, drone navigation, and smart vehicle technologies. Her research offers both breadth and clarity in an increasingly complex technical landscape.