Shihan Wang

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About

Dr. Shihan Wang is a leading researcher in autonomous mobile robotics, with a primary focus on **simultaneous localization and mapping (SLAM)** and **multi-sensor fusion**. Her work addresses the critical challenge of enabling robots to navigate reliably in complex, GPS-denied environments such as automated warehouses and flexible assembly systems. Dr. Wang’s major contributions lie in developing robust algorithms that integrate visual, inertial, and marker-based data to achieve high-precision localization. Her most cited work, "Stereo Visual Inertial Mapping Algorithm for Autonomous Mobile Robot" (2020, 10 citations), pioneered a stereo visual-inertial odometry (VIO) approach that significantly enhances mapping stability for mobile robots. She further advanced this field with her 2021 paper on a "Visual-Marker-Inertial Fusion Localization System," which introduced a sliding window optimization technique to fuse artificial landmarks with VIO data, dramatically improving accuracy in industrial settings. Through these innovations, Dr. Wang has helped bridge the gap between theoretical SLAM research and practical deployment in logistics and manufacturing, establishing herself as a key contributor to the next generation of intelligent, self-navigating systems.