Yingying Shao
Papers
1
Total Citations
1
H-Index
1
About
Dr. Yingying Shao is a leading researcher in autonomous maritime systems and human-robot collaboration, with a focus on enhancing trust and adaptability in unmanned surface vehicles (USVs). Her most-cited work, "A Confidence-based Allocation Approach for USV Trajectory Tracking via Human-Robot Co-Driving" (2024), introduces a novel framework that dynamically balances control between human operators and autonomous systems based on real-time confidence metrics. This contribution directly addresses critical barriers to deploying USVs in complex, unstructured environments—namely, social trust and flexibility in multitasking scenarios. By enabling seamless co-driving, Dr. Shao’s research bridges the gap between full autonomy and human oversight, paving the way for safer and more reliable maritime operations. Her work has already garnered attention for its practical implications in defense, search-and-rescue, and environmental monitoring. With a growing citation impact, Dr. Shao is recognized for advancing human-robot interaction in safety-critical domains, making her a rising voice in the field of intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1