Ludivina Facundo-Flores
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Papers
1
Total Citations
5
H-Index
1
About
Ludivina Facundo-Flores is a pioneering researcher at the intersection of robotics, control systems, and medical diagnostics. Her primary research areas include robot-assisted medical procedures, neural network-based control, and force-sensitive sensor design. Facundo-Flores's most notable contribution is the design of a pose and force controller for robotized ultrasonic probes, integrating neural networks with stochastic gradient approximation to optimize contact conditions and signal transmission. This work addresses a critical challenge in medical robotics: maintaining proper probe orientation and force application during diagnostic ultrasound exams, particularly when using soft sensor probes that adapt to body surfaces. While her citation count is still growing, her 2020 paper has garnered 5 citations, reflecting emerging interest in her approach. Her research bridges the gap between theoretical control algorithms and practical clinical applications, offering solutions that improve both the accuracy and safety of automated ultrasound procedures. Facundo-Flores's work is particularly relevant for advancing telemedicine and autonomous diagnostic systems, where precise robotic manipulation of medical instruments is essential. Her innovative use of neural networks for real-time control adaptation positions her as a rising contributor to the field of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1