At the TUM Clinic in Munich, researchers are studying the use of robotics and artificial intelligence in the operating room. For this purpose, an experimental OR was equipped with depth cameras, microphones, and motion sensors to create a digital twin of the OR.

The system captures movements, processes, and interactions of the OR team in real-time. The goal is to analyze workflows and integrate robotic assistance systems more efficiently and ergonomically into clinical practice in the future. Additionally, physiological data are collected to better understand staff stress and strain.

As part of the "ForNeRo" research project, the team tests robotic-assisted surgeries on artificial body models. This involves the use of robots that hold endoscopes or control surgical instruments. The researchers are exploring how such systems can be seamlessly integrated into existing OR processes.

A key focus is on minimally invasive procedures such as gallbladder operations or hernia treatments. The robotic systems aim to reduce physical strain for surgeons and enable more precise movements.

In the long term, the collected data will also be used for AI applications. Future systems could automatically recognize which instruments are being used or what surgical steps are currently taking place. AI could thus support surgical planning, assistance, and decision-making processes in the future.

The research shows how digital twins, robotics, and AI can work together to make surgical processes more efficient, safer, and more ergonomic.