Patent · US Active

Systems and method for robotic learning of industrial tasks based on human demonstration

US10913154B2 · kind B2 · utility

5Cited by
8References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 2, 2018
Grant dateFeb 9, 2021
Priority date
Expiry dateNov 21, 2038

Classification

  • Technology area (CPC Y)Emerging Cross-Sectional Technologies
  • CPC primaryY10S901/03
  • WIPO fieldHandling
  • WIPO sectorMechanical engineering

Abstract

A system for performing industrial tasks includes a robot and a computing device. The robot includes one or more sensors that collect data corresponding to the robot and an environment surrounding the robot. The computing device includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the collected data from the robot, generate a virtual recreation of the robot and the environment surrounding the robot, receive inputs from a human operator controlling the robot to demonstrate an industrial task. The system is configured to learn how to perform the industrial task based on the human operator's demonstration of the task, and perform, via the robot, the industrial task autonomously or semi-autonomously.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.