Surgical robotic system having anthropometry-based user console

A non-transitory computer-readable medium storing instructions which, when executed by one or more processors of a user console of a surgical robotic system, cause the user console to perform a method comprising:

• collecting anthropometric data for a plurality of anthropometric parameters;
• training a machine learning model using the anthropometric data, wherein the machine learning model is to correlate the plurality of anthropometric parameters to a plurality of console configuration parameters for one or more of a seat, a display, or one or more pedals of the user console;
• and
• configuring the user console based on input anthropometric parameters of a user processed using the machine learning model.

A user console of a surgical robotic system, comprising:

• a seat;
• a display;
• one or more pedals;
• and
• one or more processors configured to:
• collect anthropometric data for a plurality of anthropometric parameters,
• train a multi-stage machine learning model using the anthropometric data, wherein the multi-stage machine learning model includes a first machine learning model to correlate the plurality of anthropometric parameters to a plurality of extended anthropometric parameters, and a second machine learning model to correlate the plurality of extended anthropometric parameters to a plurality of console configuration parameters for one or more of the seat, the display, or the one or more pedals of the user console, and
• configure the user console based on input anthropometric parameters of a user processed using the multi-stage machine learning model.