Sharing learned information among robots

A server system comprising:

• one or more processors;
• and
• one or more machine-readable media storing instructions that, when executed by the one or more processors, cause the server system to perform operations comprising:
• receiving, over a communication network by the server system from a first robot, a first embedding for a first object generated using a machine learning model stored by the first robot;
• receiving, over the communication network by the server system from the first robot, data indicating a classification for the first object, wherein the first embedding and the data indicating the classification for the first object are stored in a local cache of the first robot;
• and
• sending, over the communication network by the server system to the first robot, a second embedding and a corresponding classification for storage in the local cache of the first robot, wherein the second embedding is generated by a second robot and corresponds to a second object.

One or more machine-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, over a communication network by a server system from a first robot, a first embedding for a first object generated using a machine learning model stored by the first robot;
• receiving, over the communication network by the server system from the first robot, data indicating a classification for the first object, wherein the first embedding and the data indicating the classification for the first object are stored in a local cache of the first robot;
• and
• sending, over the communication network by the server system to the first robot, a second embedding and a corresponding classification for storage in the local cache of the first robot, wherein the second embedding is generated by a second robot and corresponds to a second object.