14.01.2022 – Minimal Invasive Robotic Surgery (MIRS) has developed into one of the most important technologies of modern medicine in the last 30 years. It promises a shorter recovery time for the patient and avoids disadvantages for the surgeon, such as a broken hand-eyed coordination and the loss of degrees of freedom (DoF) in the patient’s body.

The aim of minimally invasive robot surgery is to reduce the required qualification level and the cognitive burden of a surgeon. However, providing individual and contextual support to further improve surgical performance remains an open research topic.

For this reason, DLR scientists use a digital twin of the Mirosurge system to estimate geometric and semantic conditions and thus parameterize support functions based on the current task.

A small pilot study already shows promising results. Thus, inexperienced users can benefit from haptic support in the training of certain tasks.

More information and the latest findings on the topic can be found in the published research article on the Open Science Platform Frontiers in Robotics and AI. The leading open access publisher publishes research results around the topics of robotics, artificial intelligence to biomedicine and space robotics.