Tingting Yao

Shanghai University of Engineering Science, Institute of Automation

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About

Dr. Tingting Yao is a leading researcher in autonomous robotics, with a primary focus on underwater and mining environments. Her work centers on Simultaneous Localization and Mapping (SLAM) and path planning for Autonomous Underwater Vehicles (AUVs), where she has made foundational contributions. Her highly cited 2019 review of SLAM techniques for AUVs (16 citations) and her companion review of path planning (11 citations) have become essential resources for researchers, synthesizing complex challenges in underwater navigation and obstacle avoidance. Beyond the marine domain, Dr. Yao has advanced autonomous systems in terrestrial applications, notably developing a LiDAR-based terrain mapping system for autonomous trucks in surface mines (2022, 7 citations). This work, which integrates point cloud, 2.5D grid, and mesh maps, demonstrates her ability to translate underwater robotics principles to harsh, unstructured environments. She also contributed to the design of hybrid underwater robot systems using the Robot Operating System (ROS). With a career marked by high-impact reviews and innovative mapping solutions, Dr. Yao’s research continues to shape the future of autonomous navigation across both aquatic and terrestrial frontiers.