A system and method for collecting data regarding operation of a robot using, at least in part, responses from a first operation model to an input of sensed data from a plurality of sensors. The collected data can be used to optimize the first operation model to generate a second operation model. While the first operation model is being optimized, a train data-driven model that utilizes an end-to-end learning approach can be generated that is based, at least in part, on the collected data. Both the second operation model and the train data-driven model can be evaluated, and, based on such evaluation, a determination can be made as to whether the train data-driven model is reliable. Moreover, based on a comparison of the models, one of the second operation model and the train data-driven model can be selected for validation, and if validated, used in the operation of the robot.

A method of calibrating a virtual force sensor of a robot manipulator, wherein in a plurality of poses, the method comprises: applying an external wrench to the robot manipulator ascertaining an estimate of the external wrench, ascertaining a respective cost function based on a difference between the determined estimate of the external wrench and a specified external wrench, ascertaining a respective calibration function by minimizing the respective cost function, and storing the respective calibration function in a data set of all calibration functions with assignment of the respective calibration function to a respective pose for which the respective calibration function was ascertained.

A computing system and a method for calibration verification is presented. The computing system is configured to perform a first calibration operation, and to control a robot arm to move a verification symbol to a reference location. The robot control system further receives, from a camera, a reference image of the verification symbol, and determines a reference image coordinate for the verification symbol. The robot control system further controls the robot arm to move the verification symbol to the reference location again during an idle period, receives an additional image of the verification symbol, and determines a verification image coordinate. The robot control system determines a deviation parameter value based the reference image coordinate and the verification image coordinate, and whether the deviation parameter value exceeds a defined threshold, and performs a second calibration operation if the threshold is exceeded.

Systems and methods are provided for placing non-destructive marks onto a part via an end effector of a robot. One embodiment is a system comprising an end effector of a robot. The end effector includes an extendable punch that places targets onto a part, and supports that hold a strip of reflective adhesive tape between the punch and the part. Extending the punch cuts out a target from the strip and applies an adhesive side of the target to the part, and retracting the punch leaves a reflective side of the target visible on the part.

A position detector for generating 3D position information of an object in a position determination space for the object. The position detector has a camera with a lens and an image sensor that defines an imaging area with one first light deflecting element arranged in the imaging area as the camera and the at least one light deflecting element are adapted to simultaneously produce on the image sensor at least two images of the position determination space, a first image being produced by light beams deflected at the first light deflecting element, the at least two images differ with respect to the viewing direction of the position determination space.

This robot system includes a sensor system, a robot, and a robot controller, in which the robot controller recognizes a robot coordinate system but does not recognize a sensor coordinate system of the sensor system, and the robot controller creates a conversion matrix for carrying out coordinate conversion in a plane including an X-axis and a Y-axis on sets of position coordinates obtained by the sensor system based on the sets of position coordinates of a plurality of objects or points obtained by the sensor system and sets of position coordinates in an X-axis direction and a Y-axis direction in a robot coordinate system corresponding to the plurality of objects or points.

According to the present invention, provided is a robot control device that can improve relatively easily the positioning accuracy of a robot. A robot control device according to one aspect of the present disclosure comprises: a position information acquisition unit which acquires position information indicating the actual position of a reference point at the end of a robot having a plurality of drive shafts; a parameter storage unit which stores a plurality of error parameters used to calculate the accurate position of the reference point from a command value for the robot; a sensitivity calculation unit which calculates a sensitivity value representing the magnitude of the change amount of the calculated position of the reference point with respect to the change amount for each error parameter; a target selection unit which selects, on the basis of the sensitivity value, an error parameter to be corrected by the parameter correction unit; and a parameter correction unit which corrects the error parameter to be corrected on the basis of the command value for the robot and the position information, assuming that error parameters other than the error parameter to be corrected do not affect the position of the reference point.

An apparatus for correcting a process error includes: a frame; a machining unit formed inside or outside the frame with respect to the frame and performing a predetermined process; a conveying unit formed inside or outside the frame with respect to the frame and performing predetermined conveying; a sensing mark formed on the frame, the machining unit, or the conveying unit; an imaging unit formed inside or outside the frame and creating an original image by imaging the sensing mark; and a measuring unit deriving a 3D position variation value of the frame, the machining unit, or the conveying unit by deriving an image variation value of the sensing mark by analyzing the original image transmitted from the imaging unit imaging the sensing mark formed on the frame, the machining unit, or the conveying unit.

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.

A method of calibrating an impedance control of a robot manipulator, the method including: deflecting a reference point of the robot manipulator from a zero position to a deflected position, wherein the robot manipulator applies a counterforce dependent on a spring constant of the impedance control and on a first determined deflection, wherein the first determined deflection is determined based on joint angles detected by joint angle sensors of the robot manipulator; detecting a second determined deflection by an external position measuring unit; and adapting the spring constant of the impedance control in such a way that the counterforce applied by the robot manipulator corresponds to a predetermined counterforce of the robot manipulator based on the second determined deflection.