A software compensated robotic system makes use of recurrent neural networks and image processing to control operation and/or movement of an end effector. Images are used to compensate for variations in the response of the robotic system to command signals. This compensation allows for the use of components having lower reproducibility, precision and/or accuracy that would otherwise be practical.

A method for determining a position of an object moving along a conveyor belt. The method includes measuring the position of the conveyor belt while the conveyor belt is moving using a motor encoder and providing a measured position signal of the position of the object based on the measured position of the conveyor belt. The method also includes determining that the conveyor belt has stopped, providing a CAD model of the object and generating a point cloud representation of the object using a 3D vision system. The method then matches the model and the point cloud to determine the position of the object, provides a model position signal of the position of the object based on the matched model and point cloud, and uses the model position signal to correct an error in the measured position signal that occurs as a result of the conveyor belt being stopped.

A batch production system comprising a machine tool for consecutively machining a batch of workpieces into machined pieces, the machine tool comprising a workpiece support configured for supporting the workpieces, a cutting tool, a movement system configured for providing a relative movement between the cutting tool and the workpiece support with at least two degrees of freedom, a control unit configured for controlling the movement system based on numerical control data and compensation data for compensating volumetric positioning errors of the movement system. The numerical control data are based on nominal geometry data representing a target piece that is desired to be achieved when machining the batch of workpieces into the machined pieces.

A software compensated robotic system makes use of recurrent neural networks and image processing to control operation and/or movement of an end effector. Images are used to compensate for variations in the response of the robotic system to command signals. This compensation allows for the use of components having lower reproducibility, precision and/or accuracy that would otherwise be practical.

A software compensated robotic system makes use of recurrent neural networks and image processing to control operation and/or movement of an end effector. Images are used to compensate for variations in the response of the robotic system to command signals. This compensation allows for the use of components having lower reproducibility, precision and/or accuracy that would otherwise be practical.

A software compensated robotic system makes use of recurrent neural networks and image processing to control operation and/or movement of an end effector. Images are used to compensate for variations in the response of the robotic system to command signals. This compensation allows for the use of components having lower reproducibility, precision and/or accuracy that would otherwise be practical.