Component feature detector for robotic systems

A data center robotic system, comprising:

• a sensor device;
• one or more machine learning engines, each of the machine learning engines comprising one or more hardware processors;
• and
• one or more memory devices communicably coupled with the one or more machine learning engines, each of the one or more memory devices comprising tangible, non-transitory, machine-readable media storing instructions, that when executed by the one or more hardware processors, perform operations comprising:
• generating a data reading of a data center work area by scanning the data center work area with the sensor device;
• identifying, by processing the data reading through the one or more machine learning engines, a particular data center server component of a plurality of data center server components associated with the data center work area based on a task associated with at least one server to be performed in a data center;
• identifying, with the one or more machine learning engines, a particular feature of the particular data center server component used in a completion of the task associated with the at least one server;
• determining, with the one or more machine learning engines, a particular tool of a plurality of tools of the robot system that is configured to perform the task associated with the at least one server;
• performing the task with the particular tool and the particular feature of the particular data center server component;
• and
• retraining the one or more machine learning engines with the data reading of the data center work area and the identified particular feature of the particular data center server component.

A data center robot comprising:

• one or more machine learning engines that comprise one or more hardware processors;
• and
• a non-transitory computer-readable medium storing software and coupled to the one or more machine learning engines, the software comprising instructions executable by the robot, upon such execution, cause the robot to perform operations comprising:
• generating a data reading of a data center work area by scanning the data center work area with the sensor device;
• identifying, by processing the data reading through the one or more machine learning engines, a particular data center server component of a plurality of data center server components associated with the data center work area based on a task associated with at least one server to be performed in a data center;
• identifying, with the one or more machine learning engines, a particular feature of the particular data center server component used in a completion of the task associated with the at least one server;
• determining, with the one or more machine learning engines, a particular tool of a plurality of tools of the robot system that is configured to perform the task associated with the at least one server;
• performing the task with the particular tool and the particular feature of the particular data center server component;
• and
• retraining the one or more machine learning engines with the data reading of the data center work area and the identified particular feature of the particular data center server component.