Robotics research for interventional radiology is an exciting field. Currently, most of the available systems are designed for needle guidance or require the operator to be present near the equipment, but research is already underway to develop master/slave robots that can be controlled remotely. Based on the presented robotic systems, it can be observed that existing methods are combined, such as the stereotactic approach for navigation with robotic needle guidance. In addition, there are approaches to integrate respiratory control into the software, especially for biopsies. This will ensure higher accuracy and recognition of the appropriate respiratory phase. Thereby, it is more comfortable for the patient, reduces the number of control images and thus the radiation dose, as well as shortening the process time. Looking at the application of AI technologies in software and robot control development, the rapid progress of recent years will continue to increase. Nevertheless, only daily practice will show which systems will prevail. Ideally, these systems should not only be safe and feasible in clinical practice but also improve the accuracy and shorten the duration of the procedure, as well as further reduce the radiation exposure for the interventionalists and the patient.