G05B2219/34256

Systems and methods for cloud-based expertise delivery via APIs

A method for processing a part from a workpiece using an industrial cutting system. The method includes receiving first data corresponding to the part to be processed from the workpiece using the industrial cutting system. The method further includes receiving second data corresponding to expertise data generated over a time period. The method also includes identifying features of the part based on the first data and the second data. The method further includes generating a part program design including geometry data and processing parameters for at least one of the features of the part. The method also includes processing the part from the workpiece using the industrial cutting system based on the part program design.

Robot teleoperation using mobile device motion sensors and web standards
11731278 · 2023-08-22 · ·

A method includes receiving an indication that a web-based application has been accessed for control of a robotic device by a mobile device, wherein the mobile device comprises one or more sensors to detect movement of the mobile device. The method further includes subscribing the web-based application to at least one motion event web API, wherein the at least one motion event web API listens normalizes motion data from the one or more sensors of the mobile device into one or more standardized motion parameters. The method additionally includes receiving the one or more standardized motion parameters of the mobile device from the at least one motion event web API. The method further includes converting the one or more standardized motion parameters into one or more requested movement commands for the robotic device. The method further includes sending the one or more requested movement commands to the robotic device.

SYSTEMS AND METHODS FOR CLOUD-BASED EXPERTISE DELIVERY VIA APIS

A method for processing a part from a workpiece using an industrial cutting system. The method includes receiving first data corresponding to the part to be processed from the workpiece using the industrial cutting system. The method further includes receiving second data corresponding to expertise data generated over a time period. The method also includes identifying features of the part based on the first data and the second data. The method further includes generating a part program design including geometry data and processing parameters for at least one of the features of the part. The method also includes processing the part from the workpiece using the industrial cutting system based on the part program design.

Method and system for visualization of heart tissue at risk

Exemplified methods and systems facilitate presentation of data derived from measurements of the heart in a non-invasive procedure (e.g., via phase space tomography analysis). In particular, the exemplified methods and systems facilitate presentation of such measurements in a graphical user interface, or “GUI” (e.g., associated with a healthcare provider web portal to be used by physicians, researchers, or patients, and etc.) and/or in a report for diagnosis of heart pathologies and disease. The presentation facilitates a unified and intuitive visualization that includes three-dimensional visualizations and two-dimensional visualizations that are concurrently presented within a single interactive interface and/or report.

Workflow of an apparatus
11409269 · 2022-08-09 · ·

A system including means for creating a workflow by receiving user input for combining a plurality of guidance elements, means for visually displaying the guidance elements and the workflow, means for saving the combination of the plurality of guidance elements into a file, means for obtaining the file using an application comprised in a mobile apparatus, means for executing the plurality of guidance elements combined in the file by the application.

METHOD AND SYSTEM FOR VISUALIZATION OF HEART TISSUE AT RISK

Exemplified methods and systems facilitate presentation of data derived from measurements of the heart in a non-invasive procedure (e.g., via phase space tomography analysis). In particular, the exemplified methods and systems facilitate presentation of such measurements in a graphical user interface, or GUI (e.g., associated with a healthcare provider web portal to be used by physicians, researchers, or patients, and etc.) and/or in a report for diagnosis of heart pathologies and disease. The presentation facilitates a unified and intuitive visualization that includes three-dimensional visualizations and two-dimensional visualizations that are concurrently presented within a single interactive interface and/or report.

WORKFLOW OF AN APPARATUS
20200379446 · 2020-12-03 ·

A system comprising means for creating a workflow by receiving user input for combining a plurality of guidance elements, means for visually displaying the guidance elements and the workflow, means for saving the combination of the plurality of guidance elements into a file, means for obtaining the file using an application comprised in a mobile apparatus, means for executing the plurality of guidance elements combined in the file by the application.

Method and cloud platform system for analysis and visualization of heart tissue at risk

Exemplified methods and systems facilitate, on a cloud platform, analysis and presentation of data derived from measurements of the heart acquired in a non-invasive procedure. The cloud platform includes a data store service, an analysis service, and a data exchange service configured to determine the presence or non-presence of significant coronary artery disease.

Self-adaptive device intelligence as a service enterprise infrastructure for sensor-rich environments

A device intelligence architecture configures and controls on-site devices and performs environment monitoring to facilitate effective device functionality. The architecture facilitates efficient use of devices (e.g., robotics) in an unstructured and dynamic environment, which will allow deployments in many more environments than is currently possible. The architecture stores and shares information between segregated devices to avoid the silo effect of vendor specific stacks. The architecture also models capabilities of devices and maps actions to intelligence packages to deploy a specific intelligence package to the device. The architecture also implements distributed processing. For instance, computationally intensive tasks may be offloaded to the back end processing, with action updates resulting from the processing pushed to the devices.

Systems and Methods for Cloud-Based Expertise Delivery via APIs

A method for processing a part from a workpiece using an industrial cutting system. The method includes receiving first data corresponding to the part to be processed from the workpiece using the industrial cutting system. The method further includes receiving second data corresponding to expertise data generated over a time period. The method also includes identifying features of the part based on the first data and the second data. The method further includes generating a part program design including geometry data and processing parameters for at least one of the features of the part. The method also includes processing the part from the workpiece using the industrial cutting system based on the part program design.