Natalia Schiefermeier-Mach

Universität Innsbruck, Health University of Applied Sciences Tyrol

Papers

Total Citations

H-Index

About

Natalia Schiefermeier-Mach is a researcher advancing the field of medical robotics and simulation, with a focus on autonomous systems for healthcare environments. Her work centers on developing realistic robotic models for medical palpation and hospital logistics, leveraging the Gazebo and ROS simulation frameworks. She has made key contributions to the design of autonomous delivery systems for smart hospitals, as demonstrated in her highly cited 2021 paper on a TurtleBot3-based system for navigating dynamic hospital environments with moving obstacles. Her research also addresses the automation of manual medical palpation, modeling robotic systems to reduce subjectivity in diagnosis, as seen in her 2020 work on autonomous palpation with the KUKA LBR IIWA. Additionally, she has extended Gazebo’s capabilities for surgical robotics by modeling tissue and suture interactions. With over 30 citations across her most-cited papers, her work bridges simulation and real-world medical applications, offering innovative solutions for reliable, robot-assisted healthcare. Her achievements highlight a commitment to improving patient outcomes through precise, automated medical interventions.