Yanyan Liang

Macau University of Science and Technology

Papers

Total Citations

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About

Yanyan Liang is a leading researcher at the intersection of artificial intelligence, robotics, and wireless sensing. Her work focuses on solving critical challenges in autonomous navigation and indoor localization, particularly in complex, dynamic environments. Liang’s major contributions include pioneering a robot-aided hybrid deep learning approach for Wi-Fi-based indoor localization and navigation, which leverages ubiquitous Wi-Fi infrastructure to achieve high-accuracy positioning without specialized hardware. This work, with 13 citations, addresses a pressing need for reliable indoor navigation in smart spaces. She has also advanced the field of social robotics by developing hierarchical deep reinforcement learning methods for robot subgoal-guided navigation in crowded environments. This research, cited 9 times, enables robots to move safely and efficiently among humans by breaking down complex navigation tasks into manageable subgoals. Liang’s innovative integration of deep learning with traditional robotics has earned her recognition for pushing the boundaries of autonomous systems. Her work not only enhances the capability of service robots but also lays the groundwork for more intelligent, context-aware navigation technologies that can operate seamlessly in real-world, human-centric settings.