Yihan Jiang

Shenyang Ligong University, Shenyang Institute of Automation

Papers

Total Citations

H-Index

About

Yihan Jiang’s research lies at the intersection of human-robot interaction, physiological signal processing, and intelligent mobile robotics. Their work addresses critical challenges in both human safety and autonomous navigation. A key contribution is the development of a novel method to assess mental workload during human-robot collaboration using heart rate variability (HRV) signals, demonstrating that different time-scale HRV features can reliably distinguish cognitive load levels—a finding with direct implications for preventing operator fatigue and accidents in high-stakes robotic tasks. This study has garnered 8 citations, establishing a foundation for non-invasive cognitive state monitoring. In parallel, Jiang advanced mobile robot autonomy by proposing an improved A* path planning algorithm that overcomes the traditional method’s limitations of blind search and discontinuous curvature. By refining search direction and smoothing trajectories, this work enhances both efficiency and path quality, earning 6 citations and contributing to safer, more adaptable robot navigation. Through these complementary efforts, Yihan Jiang is shaping safer, more intelligent human-robot systems, with potential applications spanning manufacturing, healthcare, and autonomous vehicles.