Systems and methods for detecting and classifying defects of tools

A system comprising:

• a tool having an operative portion;
• one or more force sensors coupled to one or both of the tool or an end effector, wherein the one or more sensors are configured to output one or more force signals indicative of one or more forces exerted in relation to the tool or the end effector as the tool operates on one or more components;
• a user interface having a display;
• and
• a control unit configured to:
• train a machine learning model based on force data stored within a memory,
• receive the one or more force signals from the one or more force sensors,
• classify, by using the machine learning model, a status of an operative portion of the tool based on the one or more forces,
• predict a remaining life of the operative portion based on the one or more forces,
• refine the machine learning model based on the one or more signals received from the one or more force sensors, and
• show information regarding the status and the remaining life of the operative portion on the display.