Vascular intervention robot based on artificial intelligence with 0.5mm precision that can increase the accuracy of the procedure and reduce the radiation exposure of the operator and the patient by providing 2D/3D medical image data information and procedure guidance
Functional Requirements of the Robotic System for Sinus Surgery to approach the blind spots through the nostrils without any external incision.
Endoscope holder system with AR navigation for reduction of fatigue due to endoscope holding and minimization of marker interference
In the case of the Da Vinci System, it is difficult to use for trans-oral surgery due to the thick robotic arms. Therefore, it is necessary to design a robot that is slim and light but rigid for intraoral surgery. In addition to safely removing the tumor, it is important to minimize the morbidity and functional loss of the patient after surgery.
The developed otolaryngology surgical robot was applied to mastectomy, which is a surgical procedure to remove the area of infection of the mastectomy bone. A mastoidectomy is a common procedure for accessing the inner ear area.
There are some limitations that cannot be overcome with conventional robot technologies only. We are trying to solve these limitations through artificial intelligence algorithms.
This research aims at developing of a new master-slave robotic system which facilitates the insertion motion of the endoscope in a safe manner and expand less power by providing the doctor with a scale-downed haptic force and moment feedback.