Marta Valenti
Papers
2
Total Citations
72
H-Index
2
About
Marta Valenti’s research bridges the critical intersection of robotics and medical technology, focusing on safe human-robot collaboration and precision surgical navigation. Her most influential work, “A Neural Network-Based Approach for Trajectory Planning in Robot–Human Handover Tasks” (2016, 70 citations), addresses a fundamental challenge in modern robotics: enabling robots to safely and intuitively share workspace with humans. By developing neural network-driven trajectory planning, Valenti’s approach allows robots to anticipate human motion and execute smooth, predictable handovers—a key requirement for collaborative manufacturing and service robotics. This contribution has become a foundational reference for researchers working on human-aware motion planning. In parallel, Valenti has advanced image-guided surgery through her work on robust pose estimation using unscented Kalman filters (2012). This research improves the accuracy of tracking surgical tools relative to preoperative MRI or CT scans, enhancing the reliability of minimally invasive procedures. While her surgical work has garnered fewer citations, it demonstrates her versatility in applying estimation theory to real-world clinical challenges. Valenti’s dual focus on human-robot interaction and medical image guidance positions her as a researcher who translates complex control and estimation algorithms into practical solutions for both industrial and healthcare settings.
Research Focus
Key Achievements
Top Papers
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- 2