Autonomy is the next frontier of research in robotic surgery and its aim is to improve the quality of surgical procedures in the next future.

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SARAS will develop a cognitive architecture able to make decisions based on pre-operative knowledge and on scene understanding via advanced machine learning algorithms.

Dexterity and perception capabilities of surgical robots may soon be improved by cognitive functions that can support surgeons in decision making and performance monitoring, and enhance the impact of automation within the operating rooms.

Training platforms, virtual or physical, are a perfect complement to conventional training such as dissection practices that usually provide limited availability and result in high cost. 

SENTISIM User Interface

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Performing ultrasound procedures from a remote site is a challenging task since both a stable behavior, for the safety of the patient, and a high-level of usability, to exploit the sonographer’s expertise, need to be guaranteed.