Montserrat Guerra
Papers
1
Total Citations
4
H-Index
1
About
Montserrat Guerra is a pioneering researcher at the intersection of robotics and biomedical engineering, with a primary focus on vibro-acoustic sensing for robot-assisted interventions. Her work centers on developing advanced signal processing and clustering methods to characterize tissue properties in real time, a critical step toward enhancing the precision and safety of minimally invasive surgical procedures. In her most-cited study, "Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions" (2023, 4 citations), Guerra provides a comprehensive analysis of feature extraction techniques applied to vibro-acoustic signals, demonstrating how these signals can reveal distinct tissue behaviors. This foundational contribution offers a novel pathway for integrating tactile feedback into robotic systems, enabling surgeons to "feel" tissue stiffness and texture through data-driven models. Though early in her career, Guerra’s work has already garnered attention for its potential to bridge the gap between raw sensor data and actionable clinical insights. Her research not only advances the field of surgical robotics but also lays the groundwork for safer, more autonomous interventions, marking her as a rising innovator in medical technology.
Research Focus
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Top Papers
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