The invention refers to the area of control of a limb device in the form of an artificial limb for a human or a robot limb. In particular, the invention is related to a control unit for electrically controlling an electrically controllable limb device, the limb device comprising a plurality of actuators, the control unit comprising a first interface for connecting the control unit to the limb device, the control unit comprising a second interface for connecting the control unit to a data gathering device comprising one or more sensing devices, the control unit comprising a processing unit which is arranged for controlling the limb device at least based on data gathered by the data gathering device, wherein the control unit is arranged for outputting one single control action step to the actuators of the limb device calculated by the processing unit based on a first data or data combination received from the data gathering device, and the control unit is arranged for outputting a plurality of control action steps to the actuators of the limb device calculated by the processing unit based on a second data or data combination received from the data gathering device, the second data or data combination being different from the first data or data combination, the plurality of control action steps inducing a more complex automatic movement of the limb device that the one single control action step. The invention further refers to a system comprising such a control unit, a method for controlling an electrically controllable limb device and a computer program.

A processing facility having at least one processing station and at least one covering at least partly surrounding the processing station. The covering has at least one viewing window. Improved error correction is then made possible if a display unit displays at least one item of information about the processing station on the viewing window.

An image generation apparatus includes: a memory; and one or more processors configured to receive moving object-related information regarding a moving object from the moving object having identification information that is recognizable from the outside of the moving object, receive, from the usage terminal, usage terminal information regarding a usage terminal and imaging data including an image of the moving object captured by the usage terminal configured to image the moving object, specify the moving object based on the identification information included in the imaging data, generate superimposition image data based on the moving object-related information of the specified moving object and the usage terminal information of the usage terminal having output the imaging data including the image of the moving object, the superimposition image data being an image data to be displayed on a display unit of the usage terminal while being superimposed on the imaging data.

The present disclosure relates to a method, an electronic device, and a computer program product for monitoring a field device. For example, a method for monitoring a field device is provided. The method may include receiving facility information data associated with locations of a group of field devices and a sensing data set acquired by a sensing apparatus arranged near the group of field devices. The method may further include determining, according to a determination that sensing data associated with at least one field device in the group of field devices in the sensing data set is abnormal, a target location of the at least one field device based on the facility information data. In addition, the method may further include generating navigation information from a source location where a user is located to the target location.

Methods, apparatus, systems, and articles of manufacture are disclosed to augment process control with a virtual assistant. An example apparatus includes at least one processor and memory storing instructions that, when executed, cause the at least one processor to determine a process control context based on a request for information associated with a field device of a process control system, the process control context based on a configuration of the process control system, identify a topic included in the request, the topic corresponding to the field device based on the process control context, map the topic to an action to be executed by the field device, generate a command to direct the field device to execute the action based on the mapping, and transmit the command to the field device to execute the action.

Various approaches to ensuring safe operation of industrial machinery in a workcell include disposing multiple image sensors proximate to the workcell and acquiring, with at least some of the image sensors, the first set of images of the workcell; registering the sensors to each other based at least in part on the first set of images and, based at least in part on the registration, converting the first set of images to a common reference frame of the sensors; determining a transformation matrix for transforming the common reference frame of the sensors to a global frame of the workcell; registering the sensors to the industrial machinery; acquiring the second set of images during operation of the industrial machinery; and monitoring the industrial machinery during operation thereof based at least in part on the acquired second plurality of images, transformation, and registration of the sensors to the industrial machinery.

The present disclosure relates to an operating system for a machine of a food industry. The operating system includes eyeglasses for a user of the operating system and a transceiver for exchanging data between the operating system and the machine. The eyeglasses include a display system configured to display a control element and information of a human machine interface (HMI). Furthermore, the operating system includes at least one input module which receives user input from the user with respect to the control element. The operating system additionally includes a processing module. The processing module converts the received user input into an input signal for controlling at least one of the machine or the HMI.

There are provided a semiconductor device, a method of manufacturing the same, and an electronic device including the device. According to an embodiment, the semiconductor device may include a substrate, and a first device and a second device formed on the substrate. Each of the first device and the second device includes a first source/drain layer, a channel layer and a second source/drain layer stacked on the substrate in sequence, and also a gate stack surrounding a periphery of the channel layer. The channel layer of the first device and the channel layer of the second device are substantially co-planar with each other, and the respective second source/drain layers of the first device and the second device are stressed differently.

A workpiece collecting point unit for a machine tool, in particular for a flatbed machine tool, such as a laser cutting or punching flatbed machine tool, has a placing area for workpieces produced by the machine tool within the framework of a processing plan, a display unit adapted to display information about the workpieces, which are to be further processed and were placed on the placing area, to an operator, and a signal device adapted to output an identification signal indicating to an operator the location of the selected workpiece collecting point unit for placing the workpiece, which is to be further processed, on the placing area. The workpiece collecting point unit can be used inter alia in a process to support a sequence of processing steps for processing workpieces.

A cognitive assistant that allows a maintainer to speak to an application using natural language is disclosed. The maintainer can quickly interact with an application hands-free without the need to use complex user interfaces or memorized voice commands. The assistant provides instructions to the maintainer using augmented reality audio and visual cues. The assistant will walk the maintainer through maintenance tasks and verify proper execution using IoT sensors. If after completing a step, the IoT sensors are not as expected, the maintainer is notified on how to resolve the situation.