High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

A method of manufacturing a panel assembly includes supporting the panel assembly in a free state using a holding fixture. The panel assembly has a skin panel, and sacrificial material coupled to a skin panel inner surface. The method includes acquiring a free state outer surface contour of the panel assembly by scanning a skin panel outer surface while the panel assembly is supported by the holding fixture. The method also includes developing a numerically controlled (NC) machining program having cutter paths configured for machining the interface locations to an inner surface contour that reflects nominal thicknesses of the panel assembly based off of the free state outer surface contour. In addition, the method includes machining the sacrificial material at the interface locations by moving a cutter along the cutter paths while the panel assembly is supported by the holding fixture.

Systems and methods provide for the determination and correction of tooling deviation by comparing two different three-dimensional surface scans of a composite panel after curing. Such methods and systems may allow for less accurate post-cure fixturing (e.g., holding the panel in a less constrained state, as compared to prior art techniques), while still maintaining a sufficient amount of precision for predictive shimming and shimless techniques. Methods include performing a first three-dimensional surface scan, performing a second three-dimensional surface scan, and comparing the two to determine a deformation function corresponding to tooling deviation. In some systems, a header structure is used to hold the composite panel in a nominal configuration for the second three-dimensional surface scan. In some systems, scanning devices perform mirrored scanning on either side of the composite panel, using a common reference frame.

This disclosure describes systems, methods, and devices related to robotic control for tool sharpening. The device may determine a first location associated with a first cutting tool of the one or more cutting tools relative to the first container. The device may grip the first cutting tool based on the first location of the first cutting tool relative to the first container. The device may move the robotic device to one more scanning sensors. The device may collect three dimensional data. The device may extract a profile of the first cutting tool. The device may determine a top edge and a bottom edge based on the profile. The device may determine a tip of the first cutting tool. The device may generate a sharpening path based on the tip and the profile of the first cutting tool.

At least one coordinate value (z1, z2, α1, α2) of a cutting body (35) can be acquired by means of an acquisition device (27) and transferred to the control device (25). This at least one coordinate value (z1, z2, α1, α2) of each cutting body (35) can be used for the rest of the method in the control device (25). This at least one coordinate value (z1, z2, α1, α2) which is determined on the basis of the at least one image (B) can be directly taken into account during the processing of the rotational tool (13). Alternatively or additionally, this at least one coordinate value (z1, z2, α1, α2) which is determined on the basis of the at least one image (B) can be used to determine at least one further coordinate value, in particular using a sensing device (29).

A fairing skin repair method based on measured wing data includes fairing skin registration. Data set P1 through denoising and filtering wing point cloud data is reorganized to obtain a key point set P. A histogram feature descriptor in a normal direction of any key point in set P and a skin point cloud data Q is calculated. Euclidean distance between feature descriptors of two points is calculated through K-nearest neighbor algorithm, and points with high similarity are added into a set M. A clustering is performed on set M using a Hough voting algorithm to obtain a local point cloud set P′ in set P. The method includes fairing skin repair. The boundary line of the point frame is projected onto Q, and a distance between a projection line on the point cloud and the boundary line is calculated to obtain an amount of skin to be repaired.

This disclosure describes systems, methods, and devices related to robotic control for tool sharpening. The device may determine a first location associated with a first cutting tool of the one or more cutting tools relative to the first container. The device may grip the first cutting tool based on the first location of the first cutting tool relative to the first container. The device may move the robotic device to one more scanning sensors. The device may collect three dimensional data. The device may extract a profile of the first cutting tool. The device may determine a top edge and a bottom edge based on the profile. The device may determine a tip of the first cutting tool. The device may generate a sharpening path based on the tip and the profile of the first cutting tool.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating personalized exosuits. In some implementations, sensor data indicating a three-dimensional shape of stretchable template garment while the template garment is worn by a person and has been stretched to align with the person's anatomy is obtained. The template garment can include indicators corresponding to positions for components of an exosuit, and can correspond to an exosuit design. The sensor data is analyzed to determine locations of the indicators of the template garment. A personalized exosuit design is generated for the person by adjusting a computer model for the exosuit design to locate components of the exosuit at regions corresponding to the identified locations of the indicators of the template garment. The personalized exosuit design is provided to one or more manufacturing devices.

Systems and methods for calibrating a LiDAR device are disclosed. According to one embodiment, the system comprises a LiDAR device, a continuous curved target at a fixed distance from the LiDAR device, and a calibration controller operable to perform a reflectance over range calibration of the LiDAR device. The LiDAR device scans portions of the continuous curved target at different ranges during the calibration.

Systems and methods provide for the determination and correction of tooling deviation by comparing two different three-dimensional surface scans of a composite panel after curing. Such methods and systems may allow for less accurate post-cure fixturing (e.g., holding the panel in a less constrained state, as compared to prior art techniques), while still maintaining a sufficient amount of precision for predictive shimming and shimless techniques. Methods include performing a first three-dimensional surface scan, performing a second three-dimensional surface scan, and comparing the two to determine a deformation function corresponding to tooling deviation. In some systems, a header structure is used to hold the composite panel in a nominal configuration for the second three-dimensional surface scan. In some systems, scanning devices perform mirrored scanning on either side of the composite panel, using a common reference frame.