Guihua Tian

Papers

Total Citations

H-Index

About

Guihua Tian’s research lies at the intersection of rehabilitation robotics and human-robot interaction, with a focus on developing safer, more adaptive systems for physical therapy. Her primary contributions center on the control and optimization of Series Elastic Actuators (SEAs)—devices that combine high performance with intrinsic safety, making them ideal for rehabilitation robots. In her most-cited work, “Stiffness Adjustment for a Single-Link Robot Arm Driven by Series Elastic Actuator in Muscle Training” (2019, 29 citations), Tian demonstrated how variable impedance control can mimic human muscle behavior during late-stage rehabilitation, enabling robots to adjust stiffness in real time for effective muscle training. Her follow-up study, “Variable stiffness control for SEAs in rehabilitation training” (2019, 12 citations), further explored how human joints exhibit variable stiffness during motion therapy, and proposed control strategies to replicate this natural property in robotic systems. Together, these works address a critical challenge in rehabilitation: balancing robotic assistance with patient safety and comfort. Tian’s research has direct implications for designing intelligent, responsive exoskeletons and therapy robots, and her citation record reflects growing interest in adaptive, human-centered robotic systems for clinical and home-based rehabilitation.