A system includes a first sensor having a fixed location relative to a workspace, a second sensor, at least one robotic manipulator coupled to a manipulation tool, and a control system in communication with the at least one robotic manipulator. The control system is configured to determine a location of a workpiece in the workspace based on first sensor data from the first sensor and a three-dimensional (3D) model corresponding to the workpiece. The control system is configured to map a set of 2D coordinates from a second 2D image from the second sensor to a set of 3D coordinates based on the location, and to generate one or more control signals for the at least one robotic manipulator based on the set of 3D coordinates.

A method of extracting data embedded in a 3D object includes a 3D scanning device scanning a 3D object and extracting data embedded as physical representations in the 3D object. A processing device will identify, from the extracted data, instructions for causing the processing device to perform an action such as identifying building instructions for printing a copy of the 3D object. The processing device will also perform the action to identify the building instructions, and cause a 3D printer to use the building instructions to print the copy of the 3D object. The processing device may be part of the 3D scanning device or part of another device or system that is in communication with the 3D scanning device.

A computer-controlled robotic arm performs operations upon a workpiece, such as a knife with a blade that requires sharpening, by a set of one or more workstations, such as a grinder and a polisher. A position target having a defined surface profile is attached to the robot arm and scanned by a profilometer to determine a relative position of the arm with respect to a target centerpoint feature. The arm is then used to manipulate the centerpoint feature to locate operating features, such as a grinder's grinding surface, of the various workstations in the robot arm's coordinate system. A workpiece grasped by the robot arm is then scanned along with the target or another target to locate and profile the workpiece relative to the target. Based on the determined profile and positional relationships, the robot arm manipulates the workpieces so as to be operated upon by the workstations.

Systems, methods, and software products that provide enhanced efficiency in automated and semi-automated manufacturing processes by employing process intelligence to verify that a user-selected manufacturing process to be applied to a workpiece corresponds to the manufacturing process actually designated for that workpiece, thereby avoiding potentially costly manufacturing errors.

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 of computer aided manufacturing are disclosed. A computer aided manufacturing device includes a tool operable to perform a manufacturing operation within a working area. A scanner obtains scan data corresponding to a portion of the working area. A processor is configured to obtain scan data of a workpiece positioned within the working area, generate a digital model of the workpiece, generate a tool path for the tool based on the digital model, operate the computer aided manufacturing system to perform the at least one manufacturing operation according to the at least one tool path to generate a modified workpiece, obtain scan data of the modified workpiece, and verify the at least one manufacturing operation based on the scan data of the modified workpiece.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

A scanner includes a marked reference plate in which a mark is made on a reference plate, and a non-volatile memory that stores reference data, which is a result of the reference plate disposed facing an image reading sensor being read by the image reading sensor, in which read data is acquired a result of the marked reference plate being read by the image reading sensor, and shading data is calculated by comparing the read data and the reference data.

Systems and methods of computer aided manufacturing are disclosed. A computer aided manufacturing device includes a tool operable to perform a manufacturing operation within a working area. A scanner obtains scan data corresponding to a portion of the working area. A processor is configured to obtain scan data of a workpiece positioned within the working area, generate a digital model of the workpiece, generate a tool path for the tool based on the digital model, operate the computer aided manufacturing system to perform the at least one manufacturing operation according to the at least one tool path to generate a modified workpiece, obtain scan data of the modified workpiece, and verify the at least one manufacturing operation based on the scan data of the modified workpiece.

Disclosed are a method, a device and a system for improving system accuracy of an X-Y motion platform, and the method includes: taking a picture of a preset calibration board synchronously as a controlled equipment on an X-Y motion platform moves, and analyzing the picture to obtain pixel coordinates of a calibration point in the picture, where the preset calibration board is taken as a reference; acquiring actual coordinates of the calibration point on the calibration board, and calculating actual position coordinates of the controlled equipment on the X-Y motion platform from the actual coordinates and the pixel coordinates of the calibration point; and adjusting a motion control system of the X-Y motion platform according to the actual position coordinates, to control the motion of the X-Y motion platform to perform motion compensation for the controlled equipment. With the technical solution of the invention, the system accuracy can be improved, and the requirements for assembly and device selection can be reduced.