An example system includes a cutting tool and a device configured to remotely control the cutting tool. The device is configured to establish a wireless communication with the cutting tool, and the cutting tool is configured to send a first signal to the device indicating that the cutting tool is enabled to be operated remotely responsive to the cutting tool receiving information indicating that a trigger is locked in an “on” state and a remote switch is in a first position. The device is configured to send a second signal to the cutting tool indicating a request to cause the cutting tool to perform a cutting operation responsive to receiving information indicative of actuation of at least one button of a user interface of the device.

The invention relates to a bending device (2) for bending a rod-like or tubular workpiece (4), comprising a bending machine (6), which has a bending head (8), which is designed for bending the workpiece (4) in a forming process, and a control means (24), which controls the operation of the bending machine (6), a robot (10), which comprises a multi-joint arm (11) which can be adjusted by motors, having a gripper end (12), which is designed for gripping and holding the workpiece (4), and a control unit (22), which is designed to control the operation of the robot (10), wherein the control means (24) is designed to control the bending machine (6) and the robot (10) during the bending process. The control unit (22) of the robot (10) is switched, at least during the bending process, to a slave mode in which it receives control commands from the control means (24) of the bending machine (6), and the control means (24) of the bending machine (6), during the bending process, continuously issues setting specifications for the motor-adjustable multi-joint arm (11) and the gripper end (12) to the control unit (22) of the robot (10) which has been switched to slave mode and thereby controls the robot (10) to introduce the workpiece (4) into the bending head (8), to stabilize the workpiece during the forming process and to remove the workpiece from the bending head (8) after the forming process.

A method inserting a first portion of a workpiece material between an upper layer and a lower layer of a workpiece support material. The method also includes folding a second portion of the workpiece material over and on top of the upper layer of the workpiece support material. The second portion is coupled to the first portion. The method further includes inserting the workpiece material and the workpiece support material into an electronic cutting machine.

An object of the present invention is to provide a tool system allowing a tool to be controlled on a work object basis before the work is started. A tool system includes a portable tool and an identification unit. The tool includes a driving unit to operate with power supplied from a battery pack. The identification unit identifies, by a contactless method, a current work object, to which the tool is set in place, out of a plurality of work objects.

A turning thread automatic diagnosing method includes collecting a spindle actual speed and a feeding shaft actual speed of a lathe; based upon the spindle actual speed and the feeding shaft actual speed, continuously calculating thread errors to obtain a thread error curve; and analyzing an error cause according to the thread error curve. In addition, a turning thread automatic diagnosing system is disclosed, using the method. A data processing system and a storage medium are also disclosed. The technology of the embodiments can automatically identify the problem causing a thread error and provide a corresponding solution.

A numerical controller includes an activation unit that builds a memory map according to settings when the power is on; a change detection unit that detects an operation requiring reconstructing of the memory map; a task control unit that, when the operation is detected, performs a stopping process of a task being operated; and a memory map control unit that, after the task has stopped, acquires a backed up memory, reconstructs the memory map according to the setting, and compares the reconstructed memory map and the backed-up memory map, and resets information required for operating the task again such as a program counter.

A position and tracking system for radio-based localization in an operating room, includes a receiver, a mobile cart, a processor, and a memory coupled to the processor. The mobile cart includes a robotic arm and a transmitter in operable communication with the receiver. The memory has instructions stored thereon which, when executed by the processor, cause the system to receive, from the transmitter, a signal including a position of the mobile carts in a 3D space based on the signal communicated by the transmitter and determine a spatial pose of the mobile carts based on the received signal.

One object determining system comprising: an air ejection device, configured to eject air; a distance detecting circuit, configured to detect distances between an electronic device comprising the object determining system and at least one location of an object when the air ejection device ejects air to the object; and a determining circuit, configured to determine a type of the object according to variations of the distances.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.