A method, system, and one or more computer-readable storage media for controlling a robot in the presence of a moving object are provided herein. The method includes capturing a number of frames from a three-dimensional camera system and analyzing a frame to identify a connected object. The frame is compared to a previous frame to identify a moving connected object (MCO). If an unexpected MCO is in the frame a determination is made if the unexpected MCO is in an actionable region. If so, the robot is instructed to take an action.

A method, system, and computer program product for optical inspection of objects. The method projects an optical test line on a device under test. A frame is captured of the optical test line projected onto the device under test. The method provides a reference line for the device under test and compares the reference line and the optical test line within the frame. The method generates a visual quality determination based on the comparison of the reference line and the optical test line.

A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

A surface evaluation system that includes one or more vision systems that generate target surface data during evaluation of a surface, the one or more vision systems comprising two or more of: at least one light, a camera, a structured light camera, a laser scanner and a 3D scanner.

A robot system including: one or two robot arms which perform work on a target; a shape measurement device which is disposed on the robot arm and measures a shape of the target; and a controller which controls the robot arm based on the shape measurement device, in which the shape measurement device includes a projection device which projects striped pattern light onto the target, an image capturing unit which captures the image of the pattern light, and a processor which calculates the shape of the target based on the captured image by the image capturing device, and in which the projection device includes a light source device which emits linear laser, an optical scanner which generates the pattern light by reflecting the laser from the light source device and by scanning the target, and a scanner driver which outputs a driving signal to drive the optical scanner non-resonantly.

A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

The present disclosure relates to a method for determining the bending angle on a bending machine, wherein the bending machine includes an upper tool and a lower tool for reshaping a workpiece by bending along a bending line. One or more measuring arrangements are positioned on the bending machine, which together include at least one illumination device and in each case at least one image acquisition device. Each measuring arrangement is assigned a different surface portion of the workpiece which lies laterally adjacent to the bending line and extends along the bending line. A light pattern is imaged on the workpiece by means of the at least one illumination device of a respective measuring arrangement onto the assigned surface portion. The light pattern contains a plurality of zones which are arranged side by side along the bending line.

There is described a method for welding a first panel to a second panel. The method comprises forming an approximate connection, such as a mortise-and-tenon or a tongue-and-groove connection, to preassemble the first panel and the second panel, thereby roughly creating a joint between the first panel and the second panel. With a laser camera, a location and a spatial orientation of the joint is determined using a tracking algorithm. A laser is eventually displaced at a given location which depends upon the location and the spatial orientation of the joint. The joint is then irradiated with the laser, while displacing the laser along the spatial orientation of the joint, to weld the first panel with the second panel.

A mobile plant for orienting a tool with respect to a hole is provided. The plant includes an arm assembly for supporting a tool wherein the tool is adapted to be lowered into the hole. The plant also includes a primary sensor for sensing the geographical location of the tool, and a secondary sensor for sensing the location and/or orientation of the hole. In use, the plant adjusts the position of the tool supported by the arm assembly based on the geographical location sensed by the primary sensor and the location and/or orientation sensed by the secondary sensor, in order to align the tool supported by the arm assembly with the hole.