ROBOTIC LEARNING OF ASSEMBLY TASKS USING AUGMENTED REALITY

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ROBOTIC LEARNING OF ASSEMBLY TASKS USING AUGMENTED REALITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240249483 titled 'ROBOTIC LEARNING OF ASSEMBLY TASKS USING AUGMENTED REALITY

The abstract describes a method for programming a robotic system by demonstration using an augmented reality (AR) device.

Display a first virtual object in the AR device, corresponding to a physical object in the environment.
Track manipulation of the virtual object by the user.
Identify initial and final states of the virtual object based on tracking.
Program the robotic system based on the manipulation of the virtual object.

Potential Applications: - Industrial automation - Remote operation of robots - Training simulations

Problems Solved: - Simplifies programming of robotic systems - Allows for intuitive control of robots - Reduces the need for complex coding

Benefits: - Increased efficiency in programming robots - User-friendly interface for controlling robotic systems - Enhanced productivity in various industries

Commercial Applications: - Manufacturing - Healthcare - Logistics

Questions about the technology: 1. How does this method improve the efficiency of programming robotic systems? 2. What are the potential limitations of using an AR device for programming robots?

Frequently Updated Research: - Stay updated on advancements in AR technology for robotic programming.

Original Abstract Submitted

a method for programming a robotic system by demonstration is described. in one aspect, the method includes displaying a first virtual object in a display of an augmented reality (ar) device, the first virtual object corresponding to a first physical object in a physical environment of the ar device, tracking, using the ar device, a manipulation of the first virtual object by a user of the ar device, identifying an initial state and a final state of the first virtual object based on the tracking, the initial state corresponding to an initial pose of the first virtual object, the final state corresponding to a final pose of the first virtual object, and programming by demonstration a robotic system using the tracking of the manipulation of the first virtual object, the first initial state of the first virtual object, and the final state of the first virtual object.