Intelligent Machine Environment Layout Adjustment

    公开(公告)号:US20240281703A1

    公开(公告)日:2024-08-22

    申请号:US18172466

    申请日:2023-02-22

    CPC classification number: G06N20/00

    Abstract: Managing machine layouts to improve machine activity workflows is provided. An analysis of a digital twin simulation of an environment is performed in accordance with a machine activity workflow corresponding to a plurality of machines located in the environment. A machine layout is generated for the environment that includes at least one of a particular set of machines having a determined amount of computational capability needed to analyze a type, volume, and frequency of data generated in each logical group of machines within the environment based on the analysis of the digital twin simulation. The machine layout is implemented automatically in the environment by positioning the at least one of the particular set of machines having the determined amount of computational capability needed to analyze the type, volume, and frequency of the data generated in each logical group of machines within the environment.

    Dynamically altering a code execution workflow during development using augmented reality

    公开(公告)号:US11880668B2

    公开(公告)日:2024-01-23

    申请号:US17806520

    申请日:2022-06-13

    CPC classification number: G06F8/34 G06F8/72 G06T19/006

    Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically altering a code execution workflow using augmented reality (AR). A computer receives, from an AR device of a user, virtual modification of a source code, where the user virtually alters the source code on the augmented realty device. A computer generates an altered execution workflow, based on a virtually altered source code created in the virtual modification. A computer overlays the altered execution workflow on the AR device. A computer executes the altered execution workflow, in response to receiving from the AR device a user request for testing the virtually altered source code. A computer displays on the augmented realty device a result of executing the altered execution workflow. A computer physically alters the source code according to the virtually altered source code, in response to receiving from the AR device satisfactory user feedback about the result.

    INCREASING DATA DIVERSITY TO ENHANCE ARTIFICIAL INTELLIGENCE DECISIONS

    公开(公告)号:US20230401499A1

    公开(公告)日:2023-12-14

    申请号:US17806307

    申请日:2022-06-10

    CPC classification number: G06Q10/063116 G06Q10/06398

    Abstract: Provided is a computer-implemented method, system, and computer program product for increasing data diversity to enhance artificial intelligence decisions. A processor may generate a corpus of data for a facility, the corpus of data having activities performed by workers at the facility. The processor may select an activity to be completed. The processor may generate, based on the corpus, a first plan for completing the activity, the first plan having a set of tasks for completing the activity and a set of workers to perform the tasks. The processor may collect performance data that is generated when completing the activity using the first plan. The processor may update the corpus of data with the performance data. The processor may analyze the updated corpus of data to identify an aspect for improving efficiency of the first plan. The processor may recommend, based on the analyzing, modification of the first plan.

    Aggregated Capability Derived from Workers' Skills and Wearable Robotic Systems' Capabilities

    公开(公告)号:US20250077996A1

    公开(公告)日:2025-03-06

    申请号:US18456803

    申请日:2023-08-28

    Abstract: Aggregating worker skills and wearable robotic system capabilities is provided. Details of an activity that a worker is preparing to perform utilizing a wearable robotic system are retrieved. Skills of the worker related to the activity are retrieved. Capabilities of the wearable robotic system related to the activity are retrieved. An analysis of the details of the activity that the worker is preparing to perform utilizing the wearable robotic system, the skills of the worker, and the capabilities of the wearable robotic system is performed. An aggregation of the skills of the worker and the capabilities of the wearable robotic system to perform the activity is determined based on the analysis. It is determined that the worker can perform the activity utilizing the wearable robotic system based on the aggregation of the skills of the worker and the capabilities of the wearable robotic system.

    TRANSPORTING ITEMS BY AUTONOMOUS MOBILE ROBOTS USING ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20240149443A1

    公开(公告)日:2024-05-09

    申请号:US17984162

    申请日:2022-11-09

    CPC classification number: B25J9/163

    Abstract: A computer-implemented method, system and computer program product for transporting items from one location to another location, such as in a warehouse. A model is built and trained to determine an optimal movement path for transporting items using mobile robots either individually or in cooperation with other mobile robots. After training the model to determine an optimal movement path for transporting items, simulations of mobile robots transporting items from a source location to a target location using various movement paths are performed. An optimal movement path for transporting such items from the source location to the target location is identified using the trained model based on the simulated movement paths, the historical times for the movement of the items using various movement paths, the number of items to be transported and the properties of the items. Available mobile robots are then organized to implement the identified optimal movement path.

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