Research groups at KIT research and develop systems and methods for automated and intelligent surgical assistance and for future autonomous interventions.

The rapid development in the fields of machine learning, virtual/augmented reality and smart robotics, especially when combined, provide the basis for the surgical intervention of the future. Surgical interventions are becoming more minimally invasive, more standardized and therefore safer and less stressful for the patient. At the same time, the limits of human abilities, for example in terms of manual precision, spatial orientation or hand-eye coordination, are being reached through this development.

Ideal assistance systems must therefore bridge the sensory and motoric gap without increasing the complexity of the processes.

To do this, the systems must be able to interact and cooperate with the surgeons. Understanding situations and actions, as well as providing and monitoring assistance functions appropriate to the situation, are the next steps on the way to the next level of autonomy for surgical systems.


Additive Manufacturing (Hanemann, IAM)

Digital Applications in Health Education (Jekauc, IfSS)

Tight human machine interaction / Cooperative rehabilitation (Hohmann, IRS)

Modelling polymer processes and structures (Kärger, FAST)

Angiogenesis & Arteriogenesis (le Noble, ZOO)

Optimize existing and exploring new diagnostic and therapeutic approaches for cardiology (Loewe, IBT)

Minimally invasive surgical instruments / Human-machine interfaces in the OR (e.g. augmented reality) (Mathis-Ullrich, IAR)


people rf2KIT