An automatic working system comprises a self-moving device moving and working in a working region, a handheld device and a control module. The handheld device is configured to move along a perimeter of the working region with a user and comprises a detecting module, detecting the perimeter information of the working region; and an input module, receiving a command of the user for detecting the perimeter information. The control module comprises a perimeter setting unit, generating virtual data of the perimeter, an area calculation unit calculating the area of the working region and a scheduling unit generating a working schedule. The self-moving device comprises a working module, a driving module and a controller. The controller controls the self-moving device to work according to the working schedule.

An automatic working system comprises a self-moving device moving and working in a working region, a handheld device and a control module. The handheld device is configured to move along a perimeter of the working region with a user and comprises a detecting module, detecting the perimeter information of the working region; and an input module, receiving a command of the user for detecting the perimeter information. The control module comprises a perimeter setting unit, generating virtual data of the perimeter, an area calculation unit calculating the area of the working region and a scheduling unit generating a working schedule. The self-moving device comprises a working module, a driving module and a controller. The controller controls the self-moving device to work according to the working schedule.

A control device, linear drive, production- or packaging machine, computer program product and method for controlling movement of at least one rotor in the linear drive, wherein a user or a machine station specifies the movement pattern to the control device to specify the movement, where the specified movement pattern is associated with virtual axes, particularly via the computer program product, the movement pattern is advantageously automatically associated with virtual axes subsequently associated with real axes, a control unit, i.e., a converter, controls movement of the rotor on the segment of the linear drive and the control unit supplies at least one segment with electrical voltage or current, where the segments as part of the linear drive therefore move the rotors in accordance with the specifications of the movement pattern, where such an association occurs automatically, and the user is relieved of this task during specification of the movement pattern.

A control device, linear drive, production- or packaging machine, computer program product and method for controlling movement of at least one rotor in the linear drive, wherein a user or a machine station specifies the movement pattern to the control device to specify the movement, where the specified movement pattern is associated with virtual axes, particularly via the computer program product, the movement pattern is advantageously automatically associated with virtual axes subsequently associated with real axes, a control unit, i.e., a converter, controls movement of the rotor on the segment of the linear drive and the control unit supplies at least one segment with electrical voltage or current, where the segments as part of the linear drive therefore move the rotors in accordance with the specifications of the movement pattern, where such an association occurs automatically, and the user is relieved of this task during specification of the movement pattern.

A method and an assembly device for automated determination of a drilling position of a drill hole for a fastener for fastening a component to a possible wall area of a wall, wherein the method steps include: determining a surface contour of the wall area; examining the surface contour and detecting first irregularities in the surface contour using a first detection rule; determining a primary possible support surface area and a primary possible drilling position area that do not have any of the detected first irregularities; examining the surface contour of the primary possible drilling position area and detecting second irregularities in the surface contour using a second detection rule; and determining the drilling position inside the primary possible drilling position area such that the surface contour at the drilling position does not have any of the detected second irregularities.

A method and an assembly device for automated determination of a drilling position of a drill hole for a fastener for fastening a component to a possible wall area of a wall, wherein the method steps include: determining a surface contour of the wall area; examining the surface contour and detecting first irregularities in the surface contour using a first detection rule; determining a primary possible support surface area and a primary possible drilling position area that do not have any of the detected first irregularities; examining the surface contour of the primary possible drilling position area and detecting second irregularities in the surface contour using a second detection rule; and determining the drilling position inside the primary possible drilling position area such that the surface contour at the drilling position does not have any of the detected second irregularities.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

A slicer in a material drop ejecting three-dimensional (3D) object printer generates machine ready instructions that operate components of a printer, such as actuators and an ejector having at least one nozzle, to form features of an object more precisely than previously known. The instructions generated by the slicer control the actuators to move the ejector and a platform on which the object is formed relative to one another at a constant velocity to form edges of the feature.

A slicer in a material drop ejecting three-dimensional (3D) object printer generates machine ready instructions that operate components of a printer, such as actuators and an ejector having at least one nozzle, to form features of an object more precisely than previously known. The instructions generated by the slicer control the actuators to move the ejector and a platform on which the object is formed relative to one another at a constant velocity to form edges of the feature.