Robotic surgical system machine learning algorithms

A robotic surgical system, comprising:

• a surgeon console including a display;
• a surgical robot including a surgical base, the surgical robot configured to perform a robotic surgical procedure, the surgical base including a mobile robotic surgical base configured to autonomously move in a direction towards an operating environment where a patient is positioned, the surgical robot being coupled to the surgeon console;
• a plurality of robotic surgical arms mounted on the mobile robotic surgical base, each robotic surgical arm of the plurality of robotic surgical arms using at least one surgical instrument;
• a plurality of sensors including one or more of:
• imaging devices, depth sensors, and/or proximity sensors, configured to scan the patient and the operating environment by collecting real-time sensor data;
• a control device coupled to the plurality of sensors and including an artificial intelligence (“Al”) system with a plurality of machine learning algorithms, the plurality of robotic surgical arms at least partially controlled by the Al system to process the real-time sensor data from the plurality of sensors to generate a three-dimensional (3D) model of the patient in the operating environment,
• wherein the control device is configured to:
• analyze the 3D model using the plurality of machine learning algorithms to determine positioning of the mobile robotic surgical base and the plurality of robotic surgical arms;
• identify desired surgical access points;
• generate a navigation path for the mobile robotic surgical base to move in a direction to approach the operating environment, the control device processing at least a portion of the real-time sensor data to generate control signals;
• compare the real-time sensor data with preoperative surgical plans;
• adjust the 3D model using at least a portion of the plurality of machine learning algorithms and suggest changes or independently make change;
• and
• adjust the plurality of robotic surgical arms to match the preoperative surgical plans.