Industrial robotics systems and methods for continuous and automated learning

Abstract

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

What is claimed is: 
     
         1 . A method of pick point selection in an industrial automatic robotics picking system by a remote artificial intelligence (AI) engine, comprising:
 maintaining a first dataset configured to select pick points for objects;   receiving, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object;   generating a second dataset based at least in part on the first dataset and the user dataset, the second dataset configured to select pick points for a larger variety of objects than the first dataset;   receiving a second image of a second object;   selecting a pick point for the second object using the second dataset and the second image of the second object; and   sending information associated with the pick point selected for the second object to a robotics device for picking up the second object.