Mu Qiao

Arizona State University, North Carolina State University

Papers

Total Citations

H-Index

About

Mu Qiao is a researcher whose work sits at the intersection of biomechanics and robotics, focusing on how humans and machines achieve stable, agile locomotion. Her key research areas include the neuromechanics of running and walking, the role of compliant leg structures in movement stability, and the translation of biological control strategies into robotic systems. Qiao’s major contributions involve reverse-engineering human maneuvering strategies—such as step ascent and descent during running—and demonstrating that these strategies align with robotic control policies. This work bridges a critical gap between biological observation and engineering application. Her most cited paper (22 citations) established that human sagittal-plane running maneuvers are consistent with robotic control frameworks, while a subsequent study (15 citations) modeled how leg joints coordinate differential functions during locomotion. Her research on compliant legs (5 citations) further explores how passive mechanical properties influence walking stability, with implications for assistive device design. By combining experimental biomechanics with computational modeling, Qiao provides foundational insights that inform both rehabilitation technology and legged robot design, making her a notable contributor to the field of bio-inspired locomotion.