Shiqi Yu

Papers

Total Citations

H-Index

About

Shiqi Yu is a robotics researcher whose work focuses on the intersection of human-robot interaction, emotional expression, and adaptive mechanical design. Her key research areas include social robotics, tensegrity structures, and bio-inspired locomotion. She has made significant contributions to understanding how robots can convey emotions through movement, particularly by replicating human gait-induced upper body motion in wheeled mobile humanoid robots. Her 2020 paper on this topic, which has garnered 11 citations, demonstrates how vertical oscillation mechanisms can enable robots to express emotions like happiness or sadness during motion, enhancing their social acceptability. Yu has also advanced physical human-robot interaction (pHRI) through her work on shape-changing tensegrity robots, which use variable-length struts and tendons to adapt to environmental constraints—a design that has earned 6 citations. Additionally, her 2017 paper on a robotic spine composed of parallelogram actuation modules (4 citations) showcases her innovative approach to creating flexible, modular robotic structures. With a growing citation impact, Yu’s research is paving the way for more expressive, adaptive, and safer robots for collaborative and social applications.