Angelo Mastrangelo
Papers
1
Total Citations
5
H-Index
1
About
Angelo Mastrangelo is a researcher at the forefront of robotic endovascular catheterization, specializing in the simulation and path planning challenges of autonomous navigation within deformable vascular environments. His most cited work, "Position-based dynamics simulator of vessel deformations for path planning in robotic endovascular catheterization" (2022), addresses a critical bottleneck in autonomous intervention: operating a catheter within a constrained, deformable workspace. By developing a position-based dynamics simulator, Mastrangelo provides a cost-effective, high-fidelity training platform that models vessel deformations in real time, enabling safer and more efficient path planning for robotic systems. This contribution, with 5 citations, lays essential groundwork for advancing autonomous endovascular surgery, where precision and adaptability are paramount. His research bridges simulation and robotics, offering tools that reduce reliance on physical phantoms and enhance procedural planning. Mastrangelo’s work is particularly notable for its practical focus on translating complex biomechanical interactions into computationally tractable models, a key step toward clinical adoption. For students and researchers in medical robotics, his simulator represents a foundational resource for exploring the intersection of deformable body dynamics and autonomous navigation in constrained surgical spaces.
Research Focus
Key Achievements
Top Papers
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