Angelica Cusipag
Papers
1
Total Citations
5
H-Index
1
About
Angelica Cusipag is a pioneering researcher at the intersection of robotic surgery and biomedical sensing, whose work advances the precision and safety of minimally invasive procedures. Her primary research areas include force-feedback haptics, impedance spectroscopy, and tissue characterization for surgical robotics. Cusipag’s most notable contribution is her 2020 paper, “Tissue Discrimination Through Force-Feedback from Impedance Spectroscopy in Robot-Assisted Surgery,” which has garnered 5 citations. This work introduces a novel method for real-time tissue identification during surgery by integrating impedance spectroscopy with force-feedback systems, enabling surgeons to distinguish between healthy and pathological tissues with greater accuracy. By bridging sensor data and haptic feedback, her research addresses a critical gap in robotic surgery—the loss of tactile sensation. Cusipag’s achievements highlight her role in developing smarter, safer surgical tools, and her findings are foundational for future innovations in autonomous tissue recognition and adaptive robotic control. Her work continues to inspire advances in surgical robotics, promising improved patient outcomes through enhanced intraoperative decision-making.
Research Focus
Key Achievements
Top Papers
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