Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit in communication with an ultrasound transducer array, the processor circuit configured to receive, from the ultrasound transducer array, a set of images of a three-dimensional (3D) volume of a patients anatomy including an anatomical feature; obtain first measurement data of the anatomical feature in a first image of the set of images; generate second measurement data for the anatomical feature in one or more images of the set of images by propagating the first measurement data from the first image to the one or more images; and output, to a display in communication with the processor circuit, the second measurement data for the anatomical feature.

Systems, devices, articles, and methods, described in greater detail herein, including robotic systems which include at least one rangefinder, at least one manipulator, and at least one processor in communication with the at least one rangefinder, and methods of operation of the same. The at least one processor obtains rangefinder pose information which represents, at least, the at least one manipulator in a plurality of poses. The at least one processor obtains manipulator pose information, optimizes a model of mismatch between the rangefinder pose information and the manipulator pose information, wherein the model of mismatch includes a plurality of parameters, and updates at least one processor readable storage device with the plurality of parameters based at least in part on the optimization.

A drilling method is provided allowing drilling in confined spaces with less effort. Two independent data sources are used for reducing tolerances between the component to be joined to the workpiece. The component is measured at the supplier using photogrammetry or laser scanning First geometric data of the component obtained by this measurement are put in a data storage, such as a barcode tag or database. At the manufacturer, the first geometric data are used to position the component relative to the workpiece. Subsequently, the component is measured to obtain second geometric data indicative of the positions and diameters of the component joining holes. After determining a deviation between the first and second geometric data to be smaller than a predetermined threshold, the automatic drill is positioned at the correct drilling location and joining holes are drilled into the workpiece. Finally, the component and the workpiece are joined by fasteners.

A method includes recording operation of equipment into an audio file and transforming the audio file into image data. The image data is input into a machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment. A system includes an audio sensor configured to record operation of equipment and create an audio file, and one or more processors. The one or more processors transform the audio file into image data and input the image data into the machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment.

Automated systems and methods of using a smart end-effector tool to prepare (e.g., scuffing, abrading, sanding, polishing, etc.) an object surface are provided. The smart tool can update its working state with a robot arm in real time, which in turn adjusts locomotion parameters to optimize the tool's working state on the object surface.

A technological solution for analyzing a sequence of ultrasound scan images of an asset and diagnosing a health condition of a section of the asset. The solution includes receiving, by a machine learning platform, an ultrasound scan image of the section of the asset; analyzing, by the machine learning platform, the ultrasound scan image to detect any aberrations in the section; generating, by the machine learning platform, an aberration label for each detected aberration in the section; labeling, by the machine learning platform, the section of the asset with a section condition label; and, rendering, by a display device, the section conditional label. The section condition label can be based on each detected aberration in the section. The section condition label can include at least one of an aberration area ratio, a total number of aberrations, and the aberration label for each detected aberration in the section of the asset.

An automatic ultrasonic scanning system includes a robotic arm with a camera, an ultrasonic probe mounted at an end of the robotic arm, a six-dimension force sensor, and a host computer. The six-dimension force sensor is fixed at the end of the robotic arm, and the ultrasonic probe is fixed on the six-dimension force sensor via a clamp. The six-dimension force sensor can detect a reactive force generated when the ultrasonic probe is in contact with a body surface of a person. The host computer is connected with each of the six-dimension force sensor, the camera and an image collection card via a data line. A controller of the robotic arm is connected to the host computer via an Ethernet communication bus. The ultrasonic machine is connected to the image collection card via a data line.

A control device includes a control section configured to control a motion of a robot arm using values detected by a plurality of distance sensors. The plurality of distance sensors include a first distance sensor and a second distance sensor disposed in a first direction orthogonal to the axial direction of a dispenser. The second distance sensor is disposed in a position further apart from the dispenser than the first distance sensor. The control section executes, on a robot, a first instruction for causing the robot to execute discharge of a discharge object by the dispenser when a distance acquired by the first distance sensor is a distance in a predetermined range and a distance acquired by the second distance sensor is a distance larger than the distance in the predetermined range.

Systems, devices, articles, and methods, described in greater detail herein, including robotic systems which include at least one rangefinder, at least one manipulator, and at least one processor in communication with the at least one rangefinder, and methods of operation of the same. The at least one processor obtains rangefinder pose information which represents, at least, the at least one manipulator in a plurality of poses. The at least one processor obtains manipulator pose information, optimizes a model of mismatch between the rangefinder pose information and the manipulator pose information, wherein the model of mismatch includes a plurality of parameters, and updates at least one processor readable storage device with the plurality of parameters based at least in part on the optimization.

This disclosure relates to a method of machining articles from a disc comprising superhard material, such as polycrystalline diamond (PCD) or polycrystalline cubic boron nitride (PCBN). The method includes providing a disc having a diameter of no more than 100 mm and a thickness of no more than 10 mm, providing a nesting pattern, scanning the disc to identify and locate any flaws in the disc and subsequently creating a machining program that takes into account said flaws.