Abstract: A method and system provide for automating drawing. A drawing of two or more entities is obtained and a resolution is determined. Based on the resolution, the drawing is quantized into a cell map in which spatial information is lost. The cell map is a collection of multiple cells stored in a contiguous memory. Each of the multiple cells is quantized geometry data and domain specific information. The cell map is utilized to automate a drawing process workflow faster and more efficiently than relying on conventional geometry data structures.

Abstract: A method, apparatus, and system provide the ability to perform a drop test using a response surface. Inputs including a target safety factor (T-SF), a drop height, and a computer model, are acquired. An initial template is evaluated by computing a safety factor for a set of orientations, for each model point MP in the computer model across a set of times (t). A minimum safety factor is determined and a response surface for the model is generated. An actual safety factor SFm is generated by conducting a drop test simulation of the model based on a point having the minimum safety factor and a corresponding orientation. Consistency/validity of the actual safety factor is compared to the target safety factor and the model either passes or additional points may be added to the set of points and the process repeats based on an updated response surface.

Abstract: A method and system provide for computer aided drawing (CAD) automation. A CAD drawing in a first format that is native to a CAD application is obtained. Markup for the CAD drawing that is in a second non-native format is acquired. A machine learning engine processes the markup using a machine learning model, to identify a markup type, identify markup properties, correlate, the markup to a CAD object needed to update the CAD drawing, and determine, CAD object properties and CAD application properties. The CAD object with the CAD object properties is provided in the CAD application using the CAD application properties. User input is accepted and the CAD drawing is updated based thereon. The machine learning model is updated based on the user input and utilized to process future markups.

Abstract: A method and system provide the ability to generate and use synthetic data to extract elements from a floor plan drawing. A room layout is generated. Room descriptions are used to generate and place synthetic instances of symbol elements in each room. A floor plan drawing is obtained and pre-processed to determine a drawing area. Based on the synthetic data symbols in the floor plan drawing are detected. Based on the detected symbols, building information model (BIM) elements are fetched and placed in the floor plan drawing.

Abstract: A computer-implemented method and system provide for insights/recommendations to a user of a software product. A computer application autonomously determines a count of distinct commands executed by a user. Based on the count, the computer application autonomously determines the insight that includes a feature or new distinct command. The computer application then autonomously recommends the insight to the user.

Abstract: A technique for generating designs includes: causing one or more candidate designs to be displayed within a virtual-reality (VR) environment; receiving a user input associated with a first candidate design included in the one or more candidate designs via the VR environment; generating a modified design based at least on the user input and the first candidate design; and generating a plurality of output designs via a generative design process based on the modified design.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: obtaining a B-Rep model including parametric surfaces and associated coedges; generating feature matrices from the coedges associated with the parametric surfaces; using the feature matrices in a convolution layer of a convolutional neural network of a machine learning algorithm to recognize a collection of faces or edges in the B-Rep model, including concatenating results of transforming the feature matrices using a topological walk matrix that represents topological information for the parametric surfaces based on adjacency relationships among the coedges (e.g.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: displaying, in an extended reality (XR) environment of an interconnected cross-review collaboration application, a shared three-dimensional (3D) model in a first spatial review mode; receiving, in the XR environment of the interconnected cross-review collaboration application and by a first user, an indication specifying a first location within the shared 3D model, the indication being defined using either 2D data or 3D data associated with the 3D model; and displaying, in the XR environment of the interconnected cross-review collaboration application, a portion of the 3D model in a second one-to-one scale review mode, the portion of the 3D model being displayed from a perspective associated with the specified first location, wherein the first spatial review mode and the second one-to-one scale review mode are interconnected.

Abstract: One embodiment of the present application sets forth a method for playback of a sense-making operation. The method includes receiving first session data that includes a set of timeline steps. Each timeline step included in the set of timeline steps corresponds to a user action performed on a data set. The method further includes receiving a playback command to display a first sequence of timeline steps included in the set of timeline steps. The method further includes rendering a first graph for display based on at least one timeline step included in the first sequence of timeline steps.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where the three dimensional (3D) models of the physical structures are produced in accordance with a design criterion that limits a minimum thickness of the generatively designed 3D models, include: obtaining a design space for an object to be manufactured and one or more design criteria including a thickness constraint; iteratively modifying a generatively designed 3D shape of the modeled object in the design space in accordance with the one or more design criteria, including measuring a current thickness for the 3D shape using an overall relationship of a volume of the 3D shape with respect to a surface area of the 3D shape; and providing the generatively designed model for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design with feature thickness control, include: a three-dimensional modeling program configured to provide voxelized thinning including preparing a voxelized sheet and line skeleton for a three-dimensional shape of a three-dimensional model, and/or ramped scaling based thickness constraint application during shape and/or topology generation including modifying an amount of change indicated by a current numerical assessment generated by numerical simulation. The three-dimensional modeling program can be an architecture, engineering and/or construction program (e.g., building information management program), a product design and/or manufacturing program (e.g., a CAM program), and/or a media and/or entertainment production program (e.g., an animation production program).

Abstract: In various embodiments, a computer animation application automatically solves inverse kinematic problems when generating object animations. The computer animation application determines a target vector based on a target value for a joint parameter associated with a joint chain and at least one of a target position or a target orientation for an end-effector associated with the joint chain. The computer animation application executes a trained machine learning model on the target vector to generate a predicted vector that includes data associated with multiple joint parameters associated with the joint chain.

Abstract: A method and system provide the ability to align a railway track. Survey representing the track are obtained. A centerline of the railway track and curvatures are autonomously computed based on the survey points. Geometry is detected based on the curvature plot and provides for geometry types including a tangent, a spiral, and a curve. An alignment is displayed and includes a curvature plot that includes the detected geometry with each geometry type displayed in a visually distinguishable manner. Parameters of the detected geometry are changed and the alignment is dynamically updated. The alignment is then exported to a physical machine that aligns the railway track consistent with the alignment.

Abstract: A method and system provide the ability to segment a first point cloud. The first point cloud is rendered into multiple two-dimensional (2D) images. The images are segmented to generate a semantic segmentation mask. The images are then backprojected into a 3D classified point cloud. The classified point cloud is segmented into geometric segments and voting is performed for each segment to determine the majority classification and reassign minority classifications. A final point cloud is then exported as a segmented classified point cloud.

Abstract: In various embodiments, a gradient modeling application automatically generates designs of three-dimensional (3D) objects. The gradient modeling application generates a set of points based on a resolution and a perimeter. The gradient modeling application computes a set of displacement values based on the set of points, a first two-dimensional (2D) border, and a first displacement parameter that is associated with the first 2D border. Based on the set of displacement values, the gradient modeling application generates a 3D object design.

Abstract: A method and system provide the ability to process a construction domain query. A natural language user query is obtained within a construction software system. The user query is pre-processed to validate the query. Text from the query is embed into search vectors for a semantic search. A data source having multiple different sections is obtained. The semantic search is performed within each of the sections and identifies semantically relevant sections. The relevant sections are consolidated into a contextual data prompt that is input into an LLM. The LLM, which is trained based on construction data, generates a response that identifies the relevant sections. The response and an identification of the relevant sections is output.

Abstract: One embodiment of a method for controlling a robot includes generating, via a first trained machine learning model, a robot motion and a predicted force associated with the robot motion, determining, via a second trained machine learning model, a gain associated with the predicted force, generating one or more robot commands based on the robot motion and the gain, and causing a robot to move based on the one or more robot commands.

Abstract: A method and system provide the ability to process source computer instructions. The source computer instructions are obtained and include input statements that consist of two functions that consume one or more arguments. A legal configuration of the functions and arguments is determined. A first function can be evaluated to yield a non-variable value, and a second function cannot be evaluated to yield a non-variable value. The input statements are compiled into executable code using the determined legal configuration such that during compilation, the first function is executed, and instructions are emitted to execute the second function at an indeterminate time.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: rendering, to a display device of a first user, a first user's view into an extended reality environment, the first user's view being generated using a first pose being tracked for the first user; identifying that a first avatar associated with the first user has entered a shared perspective mode with a second avatar associated with a second user of the XR environment, wherein the shared perspective mode has a single frame of reference in the XR environment that is shared by the first user and the second user; and performing, while in the shared perspective mode, the rendering to the display device of the first user.

Abstract: A design engine automatically generates designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. The design engine includes a design analyzer, a site analyzer, a design generator, and a design evaluator. The design analyzer generates design trends based on a historical database of designs. The site analyzer generates design criteria based on relevant construction regulations. The design generator generates design options that reflect the design trends while also adhering to the construction regulations. The design evaluator then analyzes the design options and generates various design metrics. Based on the design metrics, the design generator generates additional design options that better meet the design criteria.