A method for generating respective self-description data modules with respect to at least one functionality and/or at least one component, device, or system, wherein a data collection is provided comprising engineering elements from at least one of the three data sources, where relationship information is ascertained in which each piece of relationship information is assigned to engineering elements of the data collection, a multigraph comprising nodes and connections between nodes is generated, a clustering method is applied to the multigraph to ascertain at least one sub-graph within the multigraph, a sub-graph is selected from the ascertained at least one sub-graph, and a self-description data module relating to a component and/or a functionality of the device or system is generated.

Provided herein is a method, apparatus, and computer program product for classifying objects as static objects or dynamic objects based on point cloud data. Methods may include: receiving point cloud data representative of an environment; computing voxel sequences from the point cloud data; extracting voxel-wise semantic features from the voxel sequences; modeling voxel-wise temporal changes based on the voxel-wise semantic features; and classifying objects in the environment as dynamic objects or static objects based on the modeled voxel-wise temporal changes. Computing voxel sequences from the point cloud data may include using a voxel cloud connectivity segmentation method to group voxels in point clouds into perceptually meaningful regions.

An example system includes a standardized production portion to provide a set of standardized components and a customized production portion to provide a set of customized components. Each standardized component of the set of standardized components is substantially identical to one another, and each customized component of the set of customized components is selected from at least two different custom options. Each customized component includes at least a first portion of a customized part and an associated descriptor. Each customized component is physically coupled to a standardized component.

A method for the machining of workpieces that have an unknown workpiece geometry with a tooling machine, said method having the steps of clamping of the workpiece in a clamping device on the tooling machine, execution of a manually guided 3D line scan with a measurement sensor within the tooling machine to determine the workpiece geometry in a first dataset, processing of the first dataset to compensate for errors in the manually guided 3D line scan in order to obtain a second dataset, use of the second dataset for 3D CAD surface generation by the tooling machine for the generation of a rough component geometry, use of the rough component geometry for the generation of scan paths for an automatic 3D line scan, execution of an automatic 3D line scan of the workpiece with the measurement sensor within the tooling machine in order to obtain a third dataset, use of the third dataset for 3D CAD surface generation for the generation of a precise component geometry, and automated machining of the workpiece by the tooling machine based on the precise component geometry, and a tooling machine for the execution of the method are provided.

Provided herein is a method, apparatus, and computer program product for classifying objects as static objects or dynamic objects based on point cloud data. Methods may include: receiving point cloud data representative of an environment; computing voxel sequences from the point cloud data; extracting voxel-wise semantic features from the voxel sequences; modeling voxel-wise temporal changes based on the voxel-wise semantic features; and classifying objects in the environment as dynamic objects or static objects based on the modeled voxel-wise temporal changes. Computing voxel sequences from the point cloud data may include using a voxel cloud connectivity segmentation method to group voxels in point clouds into perceptually meaningful regions.

The present disclosure relates to systems and methods for searching a machining knowledge database that includes stored 3D models and associated stored part signatures. The stored part signatures each include a shape metric that corresponds to geometric attributes of the corresponding 3D model. Methods include receiving input from a user relating to an input part, determining an input part signature that includes a shape metric that corresponds to geometric attributes of the input part, searching the machining knowledge database for similar 3D models based at least in part on the input part signature, and providing the search result to the user. Methods may include associating the input in the machining knowledge database and/or utilizing the search result, for example visualizing a comparison of the input and the search result.

The present disclosure relates to systems and methods for searching a machining knowledge database that includes stored 3D models and associated stored part signatures. The stored part signatures each include a shape metric that corresponds to geometric attributes of the corresponding 3D model. Methods include receiving input from a user relating to an input part, determining an input part signature that includes a shape metric that corresponds to geometric attributes of the input part, searching the machining knowledge database for similar 3D models based at least in part on the input part signature, and providing the search result to the user. Methods may include associating the input in the machining knowledge database and/or utilizing the search result, for example visualizing a comparison of the input and the search result.

An example system includes a standardized production portion to provide a set of standardized components and a customized production portion to provide a set of customized components. Each standardized component of the set of standardized components is substantially identical to one another, and each customized component of the set of customized components is selected from at least two different custom options. Each customized component includes at least a first portion of a customized part and an associated descriptor. Each customized component is physically coupled to a standardized component.

A method for the machining of workpieces that have an unknown workpiece geometry with a tooling machine, said method having the steps of clamping of the workpiece in a clamping device on the tooling machine, execution of a manually guided 3D line scan with a measurement sensor within the tooling machine to determine the workpiece geometry in a first dataset, processing of the first dataset to compensate for errors in the manually guided 3D line scan in order to obtain a second dataset, use of the second dataset for 3D CAD surface generation by the tooling machine for the generation of a rough component geometry, use of the rough component geometry for the generation of scan paths for an automatic 3D line scan, execution of an automatic 3D line scan of the workpiece with the measurement sensor within the tooling machine in order to obtain a third dataset, use of the third dataset for 3D CAD surface generation for the generation of a precise component geometry, and automated machining of the workpiece by the tooling machine based on the precise component geometry, and a tooling machine for the execution of the method are provided.

A method and apparatus related to forming prosthetic dental items or tooth restorations. A defective tooth, prosthetic dental item, or a dentition is scanned. A first electronic data set from a three-dimensional scan of a defective tooth, defective prosthetic dental item, or the dentition is generated, and one or more correspondence points or structure in the first electronic data set are assigned to one or more corresponding points or structures in a second electronic data set. The second electronic data set represents a tooth model. To generate a patient specific tooth model, the tooth model is adjusted such that a function which describes one or more distances between the one or more correspondence points or structures in the first electronic data set and the one or more corresponding points or structures in the second electronic data set is minimized.