Abstract: Embodiments simulate a manufacturing resource including a cable by creating a polyline model of the cable that includes a collection of points. For each point, there is an associated point mass and zero mass sphere, and an assigned elasticity and torsional stiffness between the point and adjacent points. Position and orientation of a start point and an end point of the points is defined based upon position in three dimensional (3D) space of a manufacturing resource. In turn, a simulation of the cable for a time step is performed by computing forces on each point using: (i) the associated point mass, (ii) the associated zero mass sphere, (iii) the assigned elasticity and torsional stiffness between the point and adjacent points, and (iv) the defined position and orientation of the start point and end point. Performing the simulation determines position in 3D space of each point based on the computed forces.

Abstract: Embodiments simulate a manufacturing resource including a cable by creating a polyline model of the cable that includes a collection of points. For each point, there is an associated point mass and zero mass sphere, and an assigned elasticity and torsional stiffness between the point and adjacent points. Position and orientation of a start point and an end point of the points is defined based upon position in three dimensional (3D) space of a manufacturing resource. In turn, a simulation of the cable for a time step is performed by computing forces on each point using: (i) the associated point mass, (ii) the associated zero mass sphere, (iii) the assigned elasticity and torsional stiffness between the point and adjacent points, and (iv) the defined position and orientation of the start point and end point. Performing the simulation determines position in 3D space of each point based on the computed forces.

Abstract: Embodiments simulate electrostatic painting on a real-world object. An embodiment begins by receiving an indication of paint deposition rate and an indication of maximum paint accumulation for a given real-world robotically controlled electrostatic paint gun. Next, paint deposition of the given real-world robotically controlled electrostatic paint gun in a virtual environment is represented which includes, for a subject time period, computing total paint accumulation (electrostatic and direct) on a given surface element of a model representing the real-world object. In turn, a parameter file is generated that includes parameters accounting for the determined total paint accumulation for the given surface element, where the generated parameter file enables precision operation of the given real-world robotically controlled electrostatic paint gun to paint the real-world object.

Abstract: Embodiments simulate electrostatic painting on a real-world object. An embodiment begins by receiving an indication of paint deposition rate and an indication of maximum paint accumulation for a given real-world robotically controlled electrostatic paint gun. Next, paint deposition of the given real-world robotically controlled electrostatic paint gun in a virtual environment is represented which includes, for a subject time period, computing total paint accumulation (electrostatic and direct) on a given surface element of a model representing the real-world object. In turn, a parameter file is generated that includes parameters accounting for the determined total paint accumulation for the given surface element, where the generated parameter file enables precision operation of the given real-world robotically controlled electrostatic paint gun to paint the real-world object.

Abstract: A computer-implemented method is provided for use in location correction of virtual objects in a virtual model of a real-world scene. Location of an object consists of both position and orientation of the virtual object. The method includes generating the virtual model, including a virtual object, and acquiring at least one digital image of a real-world object within the real-world scene, wherein the real-world object corresponds to the virtual object. The method also includes calculating an image-based positional difference between at least one predefined point on the virtual object and at least one corresponding point on the real-world object, adjusting the position and/or the orientation of the virtual object based on this image positional difference, and adjusting the virtual model with respect to the corrected location of the virtual object.

Abstract: A computer-implemented method is provided for use in location correction of virtual objects in a virtual model of a real-world scene. Location of an object consists of both position and orientation of the virtual object. The method includes generating the virtual model, including a virtual object, and acquiring at least one digital image of a real-world object within the real-world scene, wherein the real-world object corresponds to the virtual object. The method also includes calculating an image-based positional difference between at least one predefined point on the virtual object and at least one corresponding point on the real-world object, adjusting the position and/or the orientation of the virtual object based on this image positional difference, and adjusting the virtual model with respect to the corrected location of the virtual object.