For an improved management of a postprocessor, for machining with a machine tool, a computer-implemented method includes providing toolpath data for machining a workpiece with a tool along a corresponding toolpath. The tool is comprised by a machine tool that is numerically controlled by a control device. Sample machine code is provided. Atrial postprocessor software component for determining machine code using toolpath data is provided. Trial machine code is determined using the trial postprocessor software component and the toolpath data. A sample code architecture of the sample machine code and a trial code architecture of the trial machine code are determined. Characteristics of the sample machine code are determined by comparing the sample code architecture with the trial code architecture, and a new postprocessor software component is determined by incorporating the characteristics into the trial postprocessor software component.

A control device is connected to a servo mechanism that drives a controlled object and outputs a manipulated variable to the servo mechanism so that a controlled variable tracks a target trajectory. The control device includes a controller and a sensor. The controller acquires a measured value from the sensor and performs model predictive control for each control period using a dynamics model representing a relationship between the manipulated variable and the position of the controlled object to generate the manipulated variable to be output to the servo mechanism. The sensor measures the position of the controlled object. The controller performs model predictive control in a first mode using the measured value when the controlled object has a position within the range, and performs model predictive control in a second mode using an output value of the dynamics model when the controlled object has a position outside the range.

A multi-axis control adjustment apparatus includes adjustment axis selection circuitry configured to select a plurality of target axes among a plurality of axes each of which represents a combination of a motor and a motor control device configured to control the motor according to a control parameter of the motor control device, adjustment operation execution circuitry configured to perform adjustment operations in each of which the control parameter is adjusted with respect to each of the plurality of target axes, and first control parameter setting circuitry configured to change, according to the adjustment operations, timing at which the control parameter is set with respect to each of the plurality of target axes.

A control device is connected to a servo mechanism that drives a controlled object and outputs a manipulated variable to the servo mechanism so that a controlled variable tracks a target trajectory. The control device includes a controller and a sensor. The controller acquires a measured value from the sensor and performs model predictive control for each control period using a dynamics model representing a relationship between the manipulated variable and the position of the controlled object to generate the manipulated variable to be output to the servo mechanism. The sensor measures the position of the controlled object. The controller performs model predictive control in a first mode using the measured value when the controlled object has a position within the range, and performs model predictive control in a second mode using an output value of the dynamics model when the controlled object has a position outside the range.

Learning related to a device having a driving unit is performed more easily. An information processing device includes: a storage unit that stores a machining program for operating a motor of a machine tool, a robot, or an industrial machine; and a generation unit that generates a learning program for performing learning based on operating characteristics of the motor by extracting a partial machining program including a characteristic element from the machining program stored in the storage unit.

In described examples of methods and control systems to control a position and/or velocity of a machine, control circuitry is coupled to receive and dither a control signal, and to compute a control output value according to the dithered control signal and a control function. An inverter is coupled to the control circuitry, to control the position and/or velocity according to the control output value.

In some aspects, autonomous motion devices configured to operably connect to a plasma torch of a plasma cutting system can include: a body to support a power supply of the plasma cutting system and move relative to a workpiece; a torch holder connected to the body and configured to position a plasma arc torch tip of the plasma torch relative to a region of the workpiece to be processed; a drive system to translate the body supporting the power supply and torch autonomously relative to a surface of the workpiece during a plasma processing operation; and a processor in communication with the drive system and configured to communicate with the power supply, the processor being configured to control the translation of the body relative to the workpiece in accordance with the plasma processing operation.

In some aspects, autonomous motion devices configured to operably connect to a plasma torch of a plasma cutting system can include: a body to support a power supply of the plasma cutting system and move relative to a workpiece; a torch holder connected to the body and configured to position a plasma arc torch tip of the plasma torch relative to a region of the workpiece to be processed; a drive system to translate the body supporting the power supply and torch autonomously relative to a surface of the workpiece during a plasma processing operation; and a processor in communication with the drive system and configured to communicate with the power supply, the processor being configured to control the translation of the body relative to the workpiece in accordance with the plasma processing operation.

A robot system is configured to fabricate three-dimensional (3D) objects using closed-loop, computer vision-based control. The robot system initiates fabrication based on a set of fabrication paths along which material is to be deposited. During deposition of material, the robot system captures video data and processes that data to determine the specific locations where the material is deposited. Based on these locations, the robot system adjusts future deposition locations to compensate for deviations from the fabrication paths. Additionally, because the robot system includes a 6-axis robotic arm, the robot system can deposit material at any locations, along any pathway, or across any surface. Accordingly, the robot system is capable of fabricating a 3D object with multiple non-parallel, non-horizontal, and/or non-planar layers.

A robot system is configured to fabricate three-dimensional (3D) objects using closed-loop, computer vision-based control. The robot system initiates fabrication based on a set of fabrication paths along which material is to be deposited. During deposition of material, the robot system captures video data and processes that data to determine the specific locations where the material is deposited. Based on these locations, the robot system adjusts future deposition locations to compensate for deviations from the fabrication paths. Additionally, because the robot system includes a 6-axis robotic arm, the robot system can deposit material at any locations, along any pathway, or across any surface. Accordingly, the robot system is capable of fabricating a 3D object with multiple non-parallel, non-horizontal, and/or non-planar layers.