Yawei Li

Shenyang Institute of Automation, University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Yawei Li is a leading researcher in human-robot interaction, mobile robotics, and physiological signal processing, with a focus on enhancing safety and performance in dynamic environments. Their major contributions include pioneering work on mental workload assessment using heart rate variability (HRV) signals during human-robot collaboration, a critical area for preventing operator fatigue and accidents. Li’s 2021 study on HRV time-scale analysis for mental workload assessment has garnered 8 citations, establishing a foundation for real-time cognitive state monitoring in hazardous robotic tasks. Additionally, Li advanced mobile robot navigation by improving the Dynamic Window Approach (DWA) for dynamic path planning, addressing collision risks from fast-moving obstacles—a 2022 paper with 5 citations that enhances autonomous robot safety in unpredictable settings. This work is notable for its practical impact on industrial and service robotics, where robots operate alongside humans. Li’s research bridges cognitive ergonomics and autonomous systems, offering innovative solutions for safer, more efficient human-robot teams. Their achievements underscore a commitment to translating complex physiological and algorithmic insights into real-world robotic applications, making them a key figure in the evolution of intelligent, human-aware robotics.