A robot system has first and second joint control units that respectively calculate first and second current values to be supplied to first and second motors based on deviations between first and second operation targets for the motors that are input from a higher device and actual operation of output shafts of the motor, and control operation of the output shafts by supplying current to the motors based on the current values, and an error estimation unit estimating an error in operation of a second joint due to bending and/or twisting of a robot arm based on the first current value and the actual operation of the output shaft of the first motor, in which the second joint control unit calculates the second current value to control the rotation angle of the output shaft of the second motor in a manner compensating for an angle error of the second joint.

A method for compensating for a malfunction of a field device, includes monitoring process values transmitted by each field device to a superordinated unit; creating historical data based on the transmitted process values for each field device or the sensor unit; establishing a replacement system based on the historical data, wherein the data processing unit ascertains which process variable of a sensor unit can serve as substitute variable to replace a process variable of a further sensor unit; comparing the current process values of the field device, or the sensor unit, with desired values for precalculating periods of time, in which current process values differ by at least one predetermined value from the desired values; and transmitting the substitute variable to the superordinated unit of the data processing unit during the precalculated periods of time.

The present invention relates to an apparatus and to a method for compensation of errors of a numerically controlled machine tool, which has at least one controllable machine axis for relative positioning of at least one workpiece relative to one or more machining devices. The method comprises detecting actual measured values of at least one input variable describing a state of the machine tool by means of sensors on the machine tool, providing at least one compensation parameter to be utilized by a control device of the machine tool on the control device of the machine tool and compensating errors on the machine tool on the basis of the compensation parameter provided to the control device. The compensation comprises the compensation of thermal errors, the compensation of geometric errors and the compensation of errors on the basis of the dynamics of the machine.

Methods, apparatuses, systems, and computer readable media for managing a path of a robot system. The systems include comprises an arm which has a joint for rotating the arm. In the methods, a real path of a tip of the robot system is obtained during directing a movement of the tip to follow an ideal path. A path deviation is identified between the real path and the ideal path. A transmission error of the joint is determined based on the path deviation and kinematic data associated with the movement and a plurality of rotations of the joint respectively at a plurality of time points during the movement.

A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

Described herein are methods and systems to establish a pre-build relationship in a model that specifies a first parameter for a first feature of a structure and a second parameter for a second feature of the structure. In particular, a computing system may receive data specifying a pre-build relationship that defines a build value of the first parameter in terms of a post-build observed value of the second parameter. During production of the structure, the computing system may determine the post-build observed value of the second parameter and, based on the determined post-build observed value, may determine the build value of the first parameter in accordance with the pre-build relationship. After determining the build value, the computing system may then transmit, to a robotic system, an instruction associated with production of the first feature by the robotic system, with that instruction specifying the determined build value of the first parameter.

A robot comprising: a base; an articulated arm extending distally of the base and including two arm members coupled by a joint; a motor; a gearbox having an input shaft coupled to an output of the motor and an output shaft configured to drive relative motion of the arm members about the joint; a position sensor configured to sense relative position of the arm members about the joint; and a control system coupled to the arm configured to drive the motor, the control system being arranged to perform a calibration operation to estimate torque loss in the gearbox by the steps of (i) estimating the inertia of the portion of the arm distal of the joint for motion about the joint; (ii) applying a determined drive power to the motor; (iii) receiving from the position sensor position data indicating the motion of the arm in response to the applied drive power; and (iv) estimating the torque loss in the gearbox in dependence on the estimated inertia, the determined drive power and the position data.

A robot system has first and second joint control units that respectively calculate first and second current values to be supplied to first and second motors based on deviations between first and second operation targets for the motors that are input from a higher device and actual operation of output shafts of the motor, and control operation of the output shafts by supplying current to the motors based on the current values, and an error estimation unit estimating an error in operation of a second joint due to bending and/or twisting of a robot arm based on the first current value and the actual operation of the output shaft of the first motor, in which the second joint control unit calculates the second current value to control the rotation angle of the output shaft of the second motor in a manner compensating for an angle error of the second joint.

A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

An actuator including a reduction gear that reduces, by a certain reduction ratio, a rotational velocity of an input shaft joined to a rotary shaft of a motor, and transmits the reduced rotational velocity to an output shaft, a first absolute angle encoder that detects a rotational angle of the input shaft, and a second absolute angle encoder that detects a rotational angle of the output shaft.