{"id":1297,"date":"2022-01-27T14:24:28","date_gmt":"2022-01-27T13:24:28","guid":{"rendered":"https:\/\/rmc-intra03.robotic.dlr.de\/mil-2021-12-18\/?p=1297"},"modified":"2022-02-02T13:23:02","modified_gmt":"2022-02-02T12:23:02","slug":"a-digital-twin-approach","status":"publish","type":"post","link":"https:\/\/mil.robotic.dlr.de\/2022\/01\/27\/a-digital-twin-approach\/","title":{"rendered":"A digital twin approach"},"content":{"rendered":"\n
14.01.2022 –<\/strong> 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n A small pilot study already shows promising results. Thus, inexperienced users can benefit from haptic support in the training of certain tasks.<\/p>\n\n\n\n