Angela Peloso
Papers
4
Total Citations
20
H-Index
4
About
Angela Peloso is a pioneering researcher in medical robotics, specializing in minimally invasive cardiac interventions. Her work focuses on developing intelligent robotic systems for transcatheter cardiology, particularly in mitral valve repair and transesophageal echocardiography (TEE). Peloso’s major contributions include path tracking control for steerable catheters, model-based position control of tendon-driven continuum robots, and telerobotic systems with hysteresis compensation for TEE probes—all aimed at reducing radiation exposure and enhancing procedural precision. Her research has garnered significant attention, with her most-cited paper on catheter path tracking (2024) receiving 8 citations, while her work on imitation learning for path planning in cardiac percutaneous interventions (2025) and variable-length continuum robots (2025) each have 4 citations. Notably, Peloso is advancing automation in cardiac surgery by integrating imitation learning to replicate expert operator skills, addressing the steep learning curve of complex procedures. Her innovative designs promise to improve patient outcomes and reduce trauma, positioning her as a key figure in the future of robotic-assisted cardiology.
Research Focus
Key Achievements
Top Papers
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