A sensing system bias is reduced across a first agricultural machine and a second agricultural machine. A collection of agronomic data is accessed, that is indicative of an estimated crop yield. The collection that is accessed, for example, includes at least a first set of data sensed by the first agricultural machine and a second set of data sensed by the second agricultural machine. In addition, the first and second sets of data can be scaled based on a yield correction factor. A bias between the scaled first set of data and the scaled second set of data is determined, and a smoothing operation is performed on the scaled first and second sets of data. For example, performing the smoothing operation can include generating a calibration correction factor based on the determined bias, removing the bias between the scaled first set of data and the scaled second set of data to obtain a corrected set of crop yield data, and using the calibration correction factor in sensing the first set of data on the first agricultural machine and the second set of data on the second agricultural machine.

A method for using a geometrical probe (5) with a spindle (3) of a machine tool (1), wherein a probe fetch waiting state of the machine tool (1), at least one temperature parameter related to a temperature of the spindle (3) of the machine tool (1) is determined by measuring at least one temperature value for the spindle (3), and time for fetching the geometrical probe (5) is determined depending on the at least one temperature parameter.

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 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.

Provided is a calibration device for three-dimensional imaging equipment including a first bead group including first beads arranged in a first pattern, and a second bead group including second beads arranged in a second pattern different from the first pattern, wherein the first and second bead groups have different cross ratios or different segment ratios from each other, the first beads are arranged in a line, and the second beads are arranged in a line.

The present invention describes an automatic calibration method for a measuring circuit for example in an industrial automation or handling process, where only one person is needed to manage the entire procedure. The components are a calibrator (11) which the worker in the field has with him, which can be connected to the starting end of the measuring circuit in order to give an impulse. The quantity to be measured/calibrated has not been limited. The measurement result is seen at the end of the measuring circuit on a screen of the control room, i.e. DCS (13). Depending on the alternative embodiment, the measured numerical value can be steered either to a dedicated server (14) over an OPC connection, and onwards wirelessly or via Ethernet back to the calibrator (11). One alternative is to use a smart device (16) which the worker has, with suitable applications, to which the measured data can be sent over a network, and the data is also presentable in a user-friendly manner in such an application. Thus, the data can be sent onwards to the calibrator (11) in the field over a BT connection. A third alternative is a direct sending of the measurement result from the control room (13) to the calibrator (11), whereby a 3G/4G/5G network, a Wifi, Bluetooth or Ethernet connection can be used for sending the data. A delay module (15) manages mutual temporal synchronization of the data i.e. numerical pairs. The data can be stored in a spreadsheet, matrix or graphic form in a desired place, such as in the calibrator's (11) own memory or in a desired server for example in a cloud.

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 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.

A machine tool is provided with a toolsetting probe mounted on a bed or table, and a workpiece-sensing probe which can be mounted in a movable spindle. Both probes are calibrated by using them to make measurements against each other. The arbitrary length of the workpiece-sensing probe is used to calibrate the toolsetting probe, rather than using a pre-calibrated artefact of known length mounted in the spindle. A stylus disc of the toolsetting probe has a pre-calibrated size or dimension, and the workpiece-sensing probe is calibrated with respect to that. This obviates the need for skilful manual calibration procedures using pre-calibrated artefacts and manual measurement tools.

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.