A computer-assisted method for determining dimensional properties of a measurement object using a coordinate measuring machine. An image representation of the measurement object is shown to a user and the user selects a first geometric element of the measurement object, resulting in the display of eligible test features for the selected first geometric element. The eligible test features are automatically determined from a plurality of typical test features stored in a database, by the selected first geometric element being assigned to one of a plurality of predefined measurement elements stored in the database. A defined measurement sequence is generated in a computer-assisted manner based on the test feature selected by the user. Individual measured values are recorded on the first geometric element using the defined measurement sequence. A numerical value based on the individual measured values is determined, which represents a dimensional property of the first geometric element corresponding to the selected test feature.

Provided are an equipment inspection system and an equipment inspection method, which are capable of preventing an operator from skipping inspection. The equipment inspection system includes: a host computer configured to accumulate information on inspection for an industrial machine; at least one information medium, attached to the industrial machine, storing information corresponding to an inspection item of the industrial machine; a reading device configured to read the information medium; and at least one portable terminal. The portable terminal includes: a display section configured to display the inspection item corresponding to the information of the information medium read by the reading device; an input section configured to allow an operator to input an inspection result of the displayed inspection item; and a communication section capable of communicating the input inspection result with the host computer.

A teaching apparatus includes circuitry. The circuitry is configured to obtain result information corresponding to a position of a worked region on a workpiece. The circuitry is configured to generate first teaching information based on the result information. The first teaching information specifies a motion of an examination robot configured to examine the workpiece that has undergone work.

The present disclosure is directed to a computer-implemented method of sensor planning for acquiring samples via an apparatus including one or more sensors. The computer-implemented method includes defining, by one or more computing devices, an area of interest; identifying, by the one or more computing devices, one or more sensing parameters for the one or more sensors; determining, by the one or more computing devices, a sampling combination for acquiring a plurality of samples by the one or more sensors based at least in part on the one or more sensing parameters; and providing, by the one or more computing devices, one or more command control signals to the apparatus including the one or more sensors to acquire the plurality of samples of the area of interest using the one or more sensors based at least on the sampling combination.

A control device adapted to control a robot including a robot arm provided with a force detector includes a processor that is configured to execute computer-executable instructions so as to control the robot, wherein the processor is configured to: operate the robot arm to move a screw gauge which is disposed on a tip side of the force detector of the robot arm, used for an inspection of a screw hole, and provided with an external thread, to make the external thread have contact with the screw hole; then detect force applied to the screw gauge using the force detector to perform force control in a direction perpendicular to a direction of an axis of the screw hole based on detection information of the force detector; and operate the robot arm to move the screw gauge based on the force control.

Systems and methods for actualizing simulated scarfing and patching for repair of composite laminates. A virtual environment is provided that enables engineers to optimize a repair design and provide the most robust repair solution that meets structural requirements, while minimizing the material removal and the impact to the composite structure. An optimization algorithm is configured to adjust contour offsets for pad-up plies and adjust scarf taper ratios in any direction to reduce the amount of material removed or avoid underlying structures. Scarf repair designs are subsequently transmitted to repair technicians for manual scarfing via printed templates or automated/robotic scarfing using converted computer-readable code. The technology also provides digital data for automated repair ply cutting.

There is provided a numerical controller capable of automatic selection of a function appropriate for a machining request and optimization of parameters, and a CAD/CAM-CNC integrated system. The numerical controller includes: a shared database storing machining resource information about the numerical controller and a machine tool; and machining instruction information including machining content information created by CAD and CAM and machining request information about a request required for machining; a machining instruction deciphering portion deciphering the machining instruction information; and a machining instruction executing portion executing the machining based on a result of decipherment by the machining instruction deciphering portion; and the machining instruction deciphering portion executes at least one of a process for judging whether the machining is possible or not based on the machining instruction information and the machining resource information, a process for deciding parameters for the machining and a process for automatically selecting a function to be used for the machining.

A numerical control device of the present invention includes a control unit that controls a machining tool including a main axis having a screw-hole inspection gauge attached thereto in such a way that a feed-axis motor and a main-axis motor for the main axis perform operations for screw-hole inspection based on a machining program and a determining unit that determines acceptance/defect of inspection of a screw hole machined on a workpiece based on a condition of the feed-axis motor or the main-axis motor during control by the control unit.

A system and method for automated part inspection are provided. The method comprises receiving a corrective machine tool program comprising instructions for causing a Numerical Control machine tool to machine at least one finished surface of a part, the corrective machine tool program differing from a nominal machine tool program; determining from the machine tool program a desired position and a desired orientation of an inspection tool relative to the at least one finished surface; and generating an inspection tool path program defining a movement of the inspection tool relative to the part, the inspection tool path program comprising instructions for placing the inspection probe at the desired position and the desired orientation and acquiring at least one measurement of the at least one new finished surface.

The present disclosure is directed to a computer-implemented method of sensor planning for acquiring samples via an apparatus including one or more sensors. The computer-implemented method includes defining, by one or more computing devices, an area of interest; identifying, by the one or more computing devices, one or more sensing parameters for the one or more sensors; determining, by the one or more computing devices, a sampling combination for acquiring a plurality of samples by the one or more sensors based at least in part on the one or more sensing parameters; and providing, by the one or more computing devices, one or more command control signals to the apparatus including the one or more sensors to acquire the plurality of samples of the area of interest using the one or more sensors based at least on the sampling combination.