Saras Multirobots-Surgery is the first step toward the next-generation of surgical robotic systems merging artificial intelligence, computer vision, machine learning and cognitive control for smarter and safer hospitals

Nowadays, during Robotic-Minimally Invasive Surgeries, two surgeons are needed in the operating room:

• the main surgeon, who tele-operates the robotic surgery platform,
• and the assistant surgeon, who uses laparoscopic instruments to provide support during the procedure.

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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.

By ©[2016] Intuitive Surgical, Inc. (©[2016] Intuitive Surgical, Inc.) [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons

The SARAS system will be developed in three increasingly complex platforms.

Each platform implements some of the SARAS results that will be exploited and extended by the next ones.

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