A process for direct fabrication of a part at a predetermined structural position. The process comprises: a) scanning, via a three-dimensional scanner, the structure in the region of the predetermined position; b) comparing a virtual surface mesh of the predetermined position with a real surface mesh of the predetermined position, the real surface mesh calculated based on data obtained from the scanning; c) determining the gaps between the two meshes; d) calculating the data for modeling an inserted part, the dimensions of which fill up the determined gaps, to obtain an inserted part model; e) merging of a virtual model of a part, linked with the predetermined position, with the inserted part model, to obtain a model adjusted to the geometry of the structure in the region of the predetermined position; f) fabricating, by material deposition, an adjusted part at the predetermined position based on the adjusted model.

A fault diagnostic device comprises an arithmetic processing device configured to judge a fault on the basis of an image captured by the camera. The arithmetic processing device includes an imaging command part configured to transmit a command for capturing the image of a diagnosis portion and a judgement part configured to judge whether or not the diagnosis portion has the fault. A storage part stores a reference image when the diagnosis portion is in a normal state. The imaging command part transmits an imaging command so as to capture the image of the diagnosis portion after changing a position and a posture of the robot. The judgement part compares the image of the diagnosis portion captured by the camera with the reference image and judges the fault in the diagnosis portion.

A computer implemented method to determine aircraft sensor failure and correct aircraft sensor measurement in an aircraft system is provide. The computer implemented method includes determining, using a physics-based high-fidelity model, a high-fidelity system response over operating conditions during which sensor drift of a sensor of interest can be detected, creating, using an aircraft system controller, a reduced order model (ROM) using the high-fidelity system response, wherein the ROM correlates with the sensor of interest when operating normally, calculating, using the ROM, at least one reduced order sensor value, determining an error value between the reduced order sensor value and a sensor measurement reading from the sensor of interest, and comparing the error value to an error threshold, wherein the sensor of interest has failed when the error value is greater than the error threshold.

A manufacturing control system for an additive, subtractive, or hybrid machining system implements a morphic manufacturing approach that integrates in situ inspection and related decision-making into the manufacturing process. After execution of a machining or deposition operation, the system performs a sensor scan to collect sensor measurement data for the resulting part while the part remains in the manufacturing work cell. The measurement data is compared with an as-designed digital model of the part to determine whether further machining or deposition is necessary to bring the finished part into tolerance with the model. If necessary, the system performs another additive and/or subtractive manufacturing operation on the part based on analysis of the measurement data to bring the part into tolerance. The measured inspection data can be stored in association with each manufactured part for auditing purposes or for creation of part-specific digital twins.

A measurement apparatus including an imaging device configured to perform imaging of an object to output image information, and perform measurement of arrangement of the object in a state where at least one of the object and the imaging device is moving, comprising: a processor configured to obtain information of the arrangement based on the output image information, wherein the processor is configured to perform a process of synchronization between the imaging and measurement of a position of the at least one.

A tool for machining an object including a first part including a rotatable member that is rotatable to cause rotation of a machine tool, a second part, a joint coupling the first part and the second part to enable relative movement between the first part and the second part, and a sensor to sense an object to be machined.

A method for robotic assembly includes: receiving product data including product structure data and/or product geometry data of a product with a base component and at least one assembly part to be assembled; analyzing the product data to determine robot functions relating to functions of a robot for assembly of the product as determined robot functions; generating a robot program including assembly instructions dependent on the determined robot functions and the product data; and executing the generated robot program so as to identify and/or localize the at least one assembly part and assemble the product.

Provided is a method in which a processor (1) accesses a database which contains a set of data records containing a focus data record, (2) selects first data records from the set of data records, the first context information of which does not correspond to the first context information of the focus data record, and the second context information of which corresponds to the second context information of the focus data record, (3) lines up a focus graphic, (4) selects second data records from the set of data records, the first context information of which corresponds to the first context information of the focus data record, and the second context information of which does not correspond to the second context information of the focus data record, and (5) lines up second graphics.

A method including: a) causing a tool mounted on a machine tool to work on a workpiece, and at least one sensor, which is configured to measure one or more aspects of the tool and/or machine tool, collecting sensor data during said working; b) a measurement device inspecting the part of the workpiece that was worked on at step a) to obtain measurement data; and c) calculating sensor-to-workpiece data calibration information from the sensor data and the measurement data.

Manufacturing of a shoe is enhanced by creating 3-D models of shoe parts. For example, a laser beam may be projected onto a shoe-part surface, such that a projected laser line appears on the shoe part. An image of the projected laser line may be analyzed to determine coordinate information, which may be converted into geometric coordinate values usable to create a 3-D model of the shoe part. Once a 3-D model is known and is converted to a coordinate system recognized by shoe-manufacturing tools, certain manufacturing steps may be automated.