General Electric Company

Ching-Ling Huang

Yoshifumi Nishida

Raju Venkataramana

Douglas Roy Forman

Mauricio Castillo-Effen

Shiraj Sen

Ghulam Ali Baloch

Steven Robert Gray

Roberto Silveira Silva Filho

Charles Burton Theurer

Huan Tan

Arpit Jain

Yakov Polishchuk

Yang Zhao

Viktor Holovashchenko

Alex Tepper

Nicholas Abate

A system, computer-readable medium, and a method including receiving, by a processor, sensor data related to a physical asset; obtaining, by the processor, at least a stored model of the physical asset from a data storage device; generating, by the processor, a visualization representation of the physical asset based on an integration of the sensor data related to the physical asset and the stored model of the physical asset; and presenting, by the processor in a shared virtual workspace accessible by a first user entity and at least one second user entity located remotely from the first user entity, the virtualization representation of the physical asset.

Remote collaboration based on multi-modal communications and 3D model visualization in a shared virtual workspace

A three-dimensional model data store may contain a three-dimensional model of an industrial asset, including points of interest associated with the industrial asset. An inspection plan data store may contain an inspection plan for the industrial asset, including a path of movement for an autonomous inspection robot. An industrial asset inspection platform may receive sensor data from an autonomous inspection robot indicating characteristics of the industrial asset and determine a current location of the autonomous inspection robot along the path of movement in the inspection plan along with current context information. A forward simulation of movement for the autonomous inspection robot may be executed from the current location, through a pre-determined time window, to determine a difference between the path of movement in the inspection plan and the forward simulation of movement along with future context information.

System and method providing situational awareness for autonomous asset inspection robot monitor

Provided are systems and methods for monitoring an asset via an autonomous model-driven inspection. In an example, the method may include storing an inspection plan including a virtually created three-dimensional (3D) model of a travel path with respect to a virtual asset that is created in virtual space, converting the virtually created 3D model of the travel path about the virtual asset into a physical travel path about a physical asset corresponding to the virtual asset, autonomously controlling vertical and lateral movement of the unmanned robot in three dimensions with respect to the physical asset based on the physical travel path and capturing data at one or more regions of interest, and capturing data at one or more regions of interest, and storing information concerning the captured data about the asset.

Three-dimensional robotic inspection system

A method, computer-readable medium, and system including a speech-to-text module to receive an input of speech including one or more words generated by a human and to output data including text, sentiment information, and other parameters corresponding to the speech input; a processing module like Artificial Intelligence to generate a reply to the speech input, the reply including a textual component, sentimental information associated with the textual component, and contextual information associated with the textual component; and a text-to-speech module to receive the textual component, sentimental information, and contextual information and to generate, based on the received textual component and its associated sentimental information and contextual information, a speech output including one or more spoken words, the spoken words to be presented with at least one of a pace, a tone, a volume, and an emphasis representative of the sentimental information and contextual information associated with the textual component.

Intelligent human-machine conversation framework with speech-to-text and text-to-speech

A method for contextualizing barcode content data includes a mobile device obtaining images containing one or more barcodes, decoding at least one of the barcodes to determine its content, determining a metric magnitude quantifying a measurable relationship between at least one decoded barcode and the imaging device, comparing the metric magnitude to a predetermined condition, if the predetermined condition is satisfied, then accessing a respective barcode specific information data record based on respective barcode content, and providing at least one of contextual information and contextual instruction to the mobile computing device, via one or more forms of multi-modal communication (e.g., visual display, audio notification, tactile stimulus, etc.). Determining a distance between at least two barcodes in the image, and displaying a message based on the distance. A system configured to implement the method and a non-transitory computer-readable medium containing instructions for a processor to perform the method are also disclosed.

Systems and methods for contextualizing data obtained from barcode images

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San Ramon, CA, United States of America

Ching-Ling Huang