Xiaoping Hu

University of California, Riverside

Papers

2

Total Citations

5

H-Index

2

About

Xiaoping Hu is a pioneering researcher in the field of MRI-compatible surgical robotics, with a focused expertise in developing flexible endoscopic systems for neurosurgery. His major contributions lie in the design and validation of novel robotic platforms that can operate safely within the high magnetic field environment of MRI scanners, enabling real-time image-guided procedures. Notably, his 2023 work on an MRI-compatible flexible endoscopic robot for transsphenoidal neurosurgery introduced a tendon-driven steerable tip with two degrees of freedom, coupled with a low-profile hydraulic actuation system. This innovation addresses critical challenges in minimally invasive brain surgery by allowing precise, MRI-guided navigation through narrow anatomical corridors. His 2024 follow-up paper further refined this concept, providing detailed mathematical modeling and experimental validation of the hydraulic tendon-driven actuation system. While his citation counts are currently modest (3 and 2 citations respectively), these works represent foundational contributions to a rapidly advancing field, with significant potential for clinical translation. Hu’s research bridges mechanical engineering, robotics, and medical imaging, offering a compelling pathway toward safer, more accurate neurosurgical interventions.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Towards an MRI-Compatible Flexible Endoscopic Robot for Transsphenoidal Neurosurgery
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of California, Riverside

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago