Papers
4
Total Citations
29
H-Index
2
About
Xiuhong Tang is at the forefront of medical robotics, specializing in autonomous ultrasound imaging, human-robot interaction, and intelligent control systems for clinical applications. Her most impactful work addresses the critical challenge of force control in robotic ultrasound scanning, where she developed a novel force tracking control method for soft, uncertain environments—a breakthrough that enhances imaging quality and patient safety while reducing physician workload (17 citations). Tang further advanced the field by creating an autonomous cardiac ultrasound system that integrates human posture recognition with image servo control, enabling precise, physician-independent scanning paths that improve diagnostic efficiency (8 citations). Beyond ultrasound, she has contributed to rehabilitation robotics through GTGR-Net, a graph attentional-temporal network for sEMG-based gesture recognition that captures both spatial and temporal muscle activation patterns. Her work on surgical continuum robots includes FABRIKv, a fast inverse kinematics solver for flexible, tendon-driven instruments used in minimally invasive surgery. Tang’s research consistently bridges the gap between robotic precision and real-world clinical demands, demonstrating significant potential to transform diagnostic and therapeutic procedures through intelligent automation.
Research Focus
Key Achievements
Top Papers
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