Peijie Yin

Chinese Academy of Sciences, University of Tehran

Papers

Total Citations

120

H-Index

About

Peijie Yin is a leading researcher in brain-inspired intelligent robotics, with a focus on developing robotic systems that emulate the speed, adaptability, and learning capabilities of biological movement. Her most-cited work, "Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application" (2023, 76 citations), provides a comprehensive framework for moving beyond traditional joint-link robots toward bio-inspired designs that meet the growing demands of manufacturing and service industries. In her earlier influential paper, "Human-inspired motion model of upper-limb with fast response and learning ability" (2016, 39 citations), Yin proposed a novel approach to robot control by modeling the complex, redundant human upper-limb system—integrating neural, muscular, and skeletal coordination to achieve robust, fast-response motion. Beyond her technical contributions, Yin has also documented the broader landscape of robotics and automation in China, notably in her 2015 article for the BRICS series (5 citations), highlighting unique national challenges and opportunities. Her work bridges theoretical analysis and systematic application, positioning her as a key figure in advancing intelligent, human-inspired robotics for real-world impact.