A robot is provided. The robot includes a plurality of sensors, a memory, a driving unit, and a processor configured to, based on identifying that a predetermined event occurs, control the driving unit to move the robot to a predetermined point, based on identifying that the robot has moved to the point, obtain a plurality of images through the sensors, identify whether to perform calibration for at least one sensor based on the obtained images, based on identifying to perform the calibration for the sensor, obtain calibration data for calibrating sensing data corresponding to the sensor based on the obtained images and store the obtained calibration data in the memory, based on the sensing data being obtained from the sensor, calibrate the obtained sensing data based on the calibration data stored in the memory, and control the driving unit based on the calibrated sensing data.

To effectively utilize work information acquired by maintenance of an instrument in a plant, an apparatus is provided, which includes an acquisition unit that acquires work information about at least one of a calibration or an adjustment performed on the instrument in a plant; an extraction unit that extracts a plurality of data elements to be included in output information having a predetermined output format from the work information; and a generation unit that generates the output information from the plurality of data elements.

A correction value measurement method includes, measuring a position of a reference sphere, calculating a relative position of the reference sphere with respect to a sensing position from the position of the reference sphere, a length of the position measurement sensor, and a length of the reference tool. The method further includes acquiring a reference tool position as a distal end position of the reference tool using, calculating a length direction correction value of the position measurement sensor from the reference tool position, the position of the reference sphere, the relative position, and a length of the reference tool, and measuring the position of the reference sphere to calculate a radial direction correction value of the position measurement sensor.

A method for calibrating a second bonding machine based on a calibrated first bonding machine is disclosed. The first bonding machine includes a first ultrasonic transducer. The second bonding machine includes a second ultrasonic transducer and a power supply. The method includes providing a first electrical calibration supply that causes the first ultrasonic transducer to oscillate at a first calibration amplitude when it is damped by a mechanical damping, providing a second electrical calibration supply that causes the second ultrasonic transducer to oscillate at the same calibration amplitude when it is damped by the same mechanical damping. The second bonding machine is adapted to modify a second control signal based on a first electrical parameter of the first electrical calibration supply and on a second electrical parameter of the second electrical calibration supply in order to generate a modified second control signal, provide the modified second control signal to the power supply in order to cause the second power supply to generate a second electrical supply, and provide the second electrical supply to the second ultrasonic transducer.

The invention relates to a method for the electric control of a measurement stand (11) having a drive movement of at least one measurement probe (26) from an initial position (31) into a measurement position (32), in particular for the measurement of the thickness of thin layers in which a motor (34) is controlled for the drive movement of the measurement probe (26), said motor (34) moving a ram (23), to which the measurement probe (26) is fastened, back and forth via a drive device (35) at least for the implementation of a measurement, wherein before a first measurement with the measurement probe (26), a learning routine is carried out, and for the subsequent implementation of one or more measurements, the measurement probe (26) is transferred from the initial position (31) into the measurement position (32), and the drive path of the measurement probe (26) from the initial position (31) into the measurement position (32) is divided into a fast speed and, before the setting of the measurement probe (26) on the measurement object (14), a slow speed, wherein the number of pulses for the fast speed is reduced by the number of pulses for the slow speed, originating from the total number of the determined pulses of the drive path and the number of pulses for the drive path at the fast speed is a multiple of the number of pulses of the drive path at the slow speed.

An active sensor calibration system includes a plurality of sensors configured to measure at least one physical quantity. Each sensor is configured to output a signal indicating at least one measured physical quantity. An electronic scenario library module is configured to store a plurality of scenarios. Each scenario is configured to excite two or more selected sensors among the plurality of sensors to generate redundancy among the selected sensors based on physical quantity models. An electronic calibration module is in signal communication with the plurality of sensors and the scenario library. The calibration module is configured to select at least one scenario from the scenario library module, determine at least one possible un-calibrated sensor among the plurality of sensors, and to identify a positive un-calibrated sensor in response to executing the at least one selected scenario.

A method and system for piece-picking or piece put-away within a logistics facility. The system includes a central server and at least one mobile manipulation robot. The central server is configured to communicate with the robots to send and receive piece-picking data which includes a unique identification for each piece to be picked, a location within the logistics facility of the pieces to be picked, and a route for the robot to take within the logistics facility. The robots can then autonomously navigate and position themselves within the logistics facility by recognition of landmarks by at least one of a plurality of sensors. The sensors also provide signals related to detection, identification, and location of a piece to be picked or put-away, and processors on the robots analyze the sensor information to generate movements of a unique articulated arm and end effector on the robot to pick or put-away the piece.

A method for calibrating a CNC processing apparatus is provided that can significantly reduce the amount of operation time required for sensor calibration. A method of the present invention for calibrating a non-contact sensor in a CNC processing apparatus 1 includes a first step, a second step and a third step. In the first step, the center coordinates of a reference instrument are measured with a contact probe and thereby the machine coordinates of the center of the reference instrument are determined. In the second step, after a non-contact sensor 110 is mounted onto a spindle 26, the center coordinates of the reference instrument are measured only one time with the non-contact sensor 110, and thereby the non-contact sensor coordinates of the center of the reference instrument are determined. In the third step, calculations are made to determine the amount of displacement required to bring the non-contact sensor coordinates obtained in the second step into agreement with the machine coordinates obtained with the contact probe in the first step.

A method and system for picking or put-away within a logistics facility. The system includes a central server and at least one mobile manipulation robot. The central server is configured to communicate with the robots to send and receive picking data which includes a unique identification for each item to be picked, a location within the logistics facility of the items to be picked, and a route for the robot to take within the logistics facility. The robots can then autonomously navigate and position themselves within the logistics facility by recognition of landmarks by at least one of a plurality of sensors. The sensors also provide signals related to detection, identification, and location of a item to be picked or put-away, and processors on the robots analyze the sensor information to generate movements of a unique articulated arm and end effector on the robot to pick or put-away the item.

A method for calibrating a machining system includes providing the machining system which includes a base, a cantilevered arm, and a rotary table positioned at the second arm end of the cantilevered arm. The rotary table is rotatable relative to the cantilevered arm about a first axis. The first axis has a first unloaded position and a first unloaded orientation with the machining system in an unloaded condition. The method further includes installing a measurement artifact on the rotary table, measuring a first position of the measurement artifact, and installing a load on the rotary table. The first axis has a first loaded position and a first loaded orientation with the machining system in a loaded condition. The method further includes measuring a second position of the measurement artifact and determining a positional deviation of the second position from the first position.