About

Xianqiang Bao is a pioneering researcher at the intersection of medical robotics, surgical automation, and minimally invasive intervention. His work spans two primary domains: robotic-assisted vascular interventional surgery and autonomous ultrasound imaging systems, fields where his contributions have fundamentally advanced both safety and clinical utility. Bao's most celebrated work, a 2023 study on an ultrasound robot with integrated force/torque measurement and control, has garnered an impressive 379 citations, reflecting its transformative influence on medical imaging robotics. Complementing this, his development of constant-force end-effectors and dual-probe systems for standardized fetal imaging demonstrates a sustained commitment to improving diagnostic precision and reproducibility. In the realm of vascular intervention, Bao has been instrumental in designing remote-controlled robotic systems that reduce radiation exposure for surgeons while enhancing procedural accuracy. His research on haptic feedback interfaces, multilevel surgical safety strategies, and skill-based robot operation reflects a nuanced understanding of real clinical environments. A 2018 trio of papers on catheter-guidewire robotics collectively accumulated over 300 citations, underscoring their lasting impact. Overall, Bao's body of work represents a cohesive vision: making complex surgical and diagnostic procedures safer, more precise, and more accessible through intelligent robotic systems.

Research Focus

Key Achievements

15
H-Index
29
Papers
1,171
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning
379 citations · 2023
📈 Most Prolific Year: 2018 (8 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: King's College London, Beijing Institute of Technology, St Thomas' Hospital, Southeast University, Ministry of Industry and Information Technology, Kagawa University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago