Javier Moviglia

University of Mannheim

Papers

1

Total Citations

3

H-Index

1

About

Javier Moviglia is a biomedical engineer whose research centers on the development of robotic systems for image-guided percutaneous interventions. His most notable contribution is the design of a semi-automated robotic assistive device that enables needle-based procedures within the confined workspace of a CT scanner gantry. By combining manual and actuated robotic operation, his system achieves a large effective workspace without compromising compatibility with medical imaging equipment—a critical advancement for precise, minimally invasive interventions. This work, published in 2023, has already garnered early citations, reflecting its relevance to the growing field of interventional robotics. Moviglia’s research addresses a key bottleneck in CT-guided procedures: the trade-off between robotic dexterity and imaging access. His hybrid approach not only enhances procedural accuracy but also maintains the flexibility needed for real-world clinical adoption. As a researcher focused on translating engineering solutions into practical medical tools, Moviglia’s contributions are paving the way for safer, more efficient percutaneous interventions, with potential applications in biopsy, ablation, and targeted drug delivery.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A semi-automated robotic system for percutaneous interventions
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Mannheim

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago