Ying-Jie Zhang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Ying-Jie Zhang is a pioneering researcher at the intersection of human-robot interaction and cognitive ergonomics, with a primary focus on enhancing teleoperated robotic systems for high-risk, high-precision environments. Her most cited work, "Feasibility study of personalized speed adaptation method based on mental state for teleoperated robots" (2022, 6 citations), introduces a groundbreaking approach that dynamically adjusts robot speed based on the operator's real-time mental state. This contribution addresses a critical challenge: operators in hazardous settings—such as nuclear decommissioning, disaster response, or deep-sea exploration—often experience stress, high mental workload, and fatigue, which can impair performance and lead to errors. Dr. Zhang's method personalizes the human-robot interface, improving both safety and efficiency. Her research has been recognized for its potential to revolutionize teleoperation by making systems more adaptive and operator-centric. With a growing citation impact, Dr. Zhang's work is laying the foundation for next-generation collaborative robots that prioritize human well-being without compromising task precision. Her achievements mark her as a rising leader in the field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1