US 2026/0299557 A1 · ARTIFICIAL INTELLIGENCE-BASED INVENTORY MANAGEMENT FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

Abstract

In various examples, Artificial Intelligence (AI)-based systems and methods may be used to autonomously manage the movement of items in a variety of environments, such as a retail space. For instance, the systems and methods of the present disclosure may (e.g., using one or more AI models) continuously update a virtual representation (e.g., digital twin) of an environment based on images depicting the environment. The virtual representation of the environment may be used to track locations of various objects in real time. In some examples, the systems of the present disclosure may use the virtual representation of the environment to select optimal machines for moving items, select optimal paths for the machines to follow, etc. Additionally, the systems of the present disclosure may use 3D models of items in the virtual representation to determine grasps and/or control commands for manipulators of the machines to pick up the items.

Claims20

Dependent claims

A method comprising:

generating, based at least on using one or more language models to process input data corresponding to a request, text data representing one or more tasks associated with moving one or more items in an environment;
generating, based at least on image data representing one or more images depicting one or more portions of the environment, a simulated version of the environment;
determining, using the simulated version of the environment and based at least on the text data, one or more machines from among a plurality of machines that are located within a threshold proximity of one or more first locations in the environment corresponding to the one or more items;
and
based at least on the one or more machines being located within the threshold proximity of the one or more first locations, causing the one or more machines to perform one or more control operations to move the one or more items from the one or more first locations to one or more second locations in the environment.

2 more elements

One or more processors comprising:

processing circuitry to send, to one or more autonomous robots operating in an environment, one or more control inputs to cause the one or more autonomous robots to manipulate one or more items in the environment, wherein the one or more autonomous robots are selected from among a plurality of autonomous robots based at least on:
generating a simulated version of the environment based at least on image data representing one or more images of the environment;
and
determining, using the simulated version of the environment, that the one or more autonomous robots are located within a threshold proximity of the one or more items.

1 more element

Dependencies are inferred from the claim text.

Artificial intelligence-based inventory management for autonomous systems and applications

Life of this patent

Artificial intelligence-based inventory management for autonomous systems and applications

Life of this patent

Abstract

Claims20