Hongling Wang
Papers
8
Total Citations
91
H-Index
4
About
Hongling Wang is a robotics researcher whose work centers on simultaneous localization and mapping (SLAM), mobile robotics, and autonomous systems for search and rescue (SAR) applications. Her research addresses one of the most demanding challenges in robotics: enabling autonomous systems to navigate and map collapsed, GPS-denied, and cluttered disaster environments where conventional approaches routinely fail. Wang's most significant contribution is her development of advanced SLAM methodologies tailored specifically for post-disaster scenarios. Her highly cited 2019 paper on three-dimensional reconstruction using visual SLAM (43 citations) pioneered the integration of 2D global mapping with 3D object-of-interest localization, dramatically improving situational awareness for rescue operations. Complementing this, her work on multi-robot cooperative SLAM (26 citations) introduced master-follower architectures that enhance coverage and resilience in complex rescue environments. Across her body of work, Wang has consistently pushed the boundaries of information fusion, combining laser range finders, RGB-D cameras, sonar, gyro odometry, and Kinect sensors to create robust, redundant perception systems. She has further explored hierarchical SLAM frameworks, robot arm perceptive exploration, and ad hoc wireless network integration for decentralized robot coordination. Her research offers meaningful contributions to humanitarian robotics, providing foundational tools that could ultimately help save lives in real-world disaster response scenarios.
Research Focus
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