Abstract: A fixture that includes an electro-mechanical (EM) element; a communication interface; a processor; and a computer-readable storage media coupled to the processor and having instructions stored thereon which, when executed by the processor, cause the processor to perform operations comprising: receiving, from a service via the communication interface, parameters for scheduling an operation of the fixture; determining, based on the parameters, a plurality of commands for the EM element and a respective time to execute each of the commands; providing, at the respective time, each of the commands to the respective EM element for execution; providing, via the communication interface, an indication of completion of the operation of the fixture to the service.

Abstract: This control system for controlling an actuator of a crane is provided with a signal processing unit for generating a signal related to a target operating amount of the actuator, a feedback control unit for controlling the actuator on the basis of the difference between the signal relating to the target operating amount, and a fed-back signal relating to the operating amount of the actuator, and a feed-forward control unit which controls the actuator on the basis of the signal relating to the target operating amount, in cooperation with the feedback control unit, and learns the characteristics of the actuator by adjusting a weighting factor on the basis of a teaching signal, wherein the signal processing unit converts an input signal into the signal relating to the target operating amount by removing a pulse-shaped component from the input signal.

Abstract: A method includes receiving, by an edge controller, data relating to a first space. The edge controller controls operation of an edge device affecting a characteristic of the first space and that is associated with a first building equipment domain. The method further includes analyzing, by the edge controller, the data to determine whether the data satisfies a condition. If the condition is satisfied, the edge controller controls operation of the edge device using the data. If the condition is not satisfied, the edge controller (a) transmits a request to a cloud controller to analyze the data based on information obtained by the cloud controller regarding at least one of a second space or a second building equipment domain, (b) receives a response to the request from the cloud controller, and (c) controls operation of the edge device using the response from the cloud controller.

Abstract: An adjustment support system includes a controller and a storage, in which the storage holds production line model data related to a model of one or more production facilities in a cyberspace of a production line and actual machine data obtained by actually measuring one or more production facilities disposed in an actual space of the production line, the controller calculates a difference between the production line model data and the actual machine data, upon determination that the difference exists on a basis of a result of calculating the difference, the controller creates one or more adjustment plans each targeting at least one of the model of the one or more production facilities in the cyberspace or the one or more production facilities disposed in the actual space, and the controller outputs the one or more adjustment plans having been created.

Abstract: A process controller is described, along with a method for automatically detecting expansion modules that can be coupled to said modular process controller, which is provided with a frame (20) for receiving the expansion modules (30) to enable the functionalities of the controller to be expanded by the user, depending on the requirements of the application, in which the expansion modules are detected automatically by the main module (10) of the process controller using a dedicated communication interface.

Abstract: Systems and methods for automated workflow include assigning a set of first targets to an uncompiled first workflow. The uncompiled first workflow specifies a first set of process modules. Each such module is associated with a subset of unit operations. Each unit operation includes a time interval and specifies an instrument. For each target in the set of first targets, the uncompiled workflow is translated into an instance of a compiled first workflow that includes a linear temporal order of unit operations. This translating resolves a branch condition, nested condition, or loop condition of the uncompiled first workflow.

Abstract: A numerical controller 10 according to an aspect of the present disclosure does not require excessive speed and acceleration yet suppress errors in movement paths, and in accordance with a machining program containing a plurality of command blocks that each specify a designated speed of a target, controls a machining device having a plurality of driving axes for driving the target. The numerical controller 10 comprises: a synthetic speed calculation unit 16 that, for at least a curve block which designates curve movement and which is from among the plurality of command blocks, calculates a synthetic speed that is revised so that the designated speed is initially accelerated from zero by a prior revision time constant and finally decelerated to zero by the prior revision time constant; and a prior revision speed calculation unit 17 that calculates a prior revision speed of each driving axis for each time to realize the synthetic speed.

Abstract: A method for predicting a service state of a printing machine at a defined point in time includes: measuring a plurality of successive process values of a process parameter which is an indicator of the functionality of the printing machine; determining a plurality of successive scatter values which describe the spread of the measured process values within a predetermined time range; determining a local scatter minimum of the scatter values; determining a baseline, in that a baseline value is established that correlates with the value of the process parameter at the point in time of the local minimum and that does not change up until a new determination of a baseline; and determining a health value at a specific point in time, with a predetermined relation of the process value to the baseline value at this point in time. A service state is assessed upon the health value exceeding a predetermined threshold.

Abstract: A method for computer numerically controlled processing may include generating a user interface to enable the configuration of an edge treatment. The user interface may also be generated to enable the configuration of a design corresponding to a combination of the first object and the second object generated by applying one of a plurality of Boolean operation. A computer numerically controlled machine may be configured to deliver an electromagnetic energy in order to effect, in a material, one or more changes corresponding to the edge treatment and/or the design configured by the user. For example, the one or more changes corresponding to the edge treatment may include a variable depth engraving along at least a portion of a perimeter of a material.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an exosuit activity transition control structure. In some implementations, sensor data for a powered exosuit is received. The sensor data is classified depending on whether the sensor data is indicative of a transition between different types of activities of a wearer of the powered exosuit. The classification is provided to a control system for the powered exosuit. The powered exosuit is controlled based on the classification.

Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.

Abstract: A valve assembly monitoring system receives operational data that is representative of one or more parameters of a valve assembly's operation and that is collected by the valve assembly during normal operation. The valve assembly monitoring system is configured to identify, based on the operational data, a change in valve travel setpoint that indicates a start of a valve transition and a subsequent change in valve travel that indicates an end of the valve transition. Based on the identified start and end of the valve transition, the valve assembly monitoring system is configured to generate a valve transition time and to compare the generated transition time to transition time limits of the valve assembly to alert maintenance personnel to problematic increases in transition time.

Abstract: A method for managing electronic components includes a manufacturer-side process including preparing bulk cases provided with RFID tags storing unique IDs and including electronic components stored therein, storing manufacturer-side information in association with the unique IDs in a manufacturer-side-information storage area on a cloud, and shipping the electronic components on a per-bulk case basis, receiving the shipped bulk cases, reading the unique IDs stored in the RFID tags, and obtaining, based on the read unique IDs, the manufacturer-side information stored in the manufacturer-side-information storage area in the cloud.

Abstract: An industrial topology discovery system autonomously discovers and documents industrial automation system topologies using orchestrated discovery agents of various types. The topology discovery system can reside on a cloud platform or another high level network and deploy discovery agents on plant networks and devices within an industrial facility. These discovery agents can implement different strategies for discovering system information, and can include agents configured to monitor and report on communication traffic across respective types of networks, agents configured to probe respective device types for identity and configuration information, and other types of agents.

Abstract: A decentralized control of decoupled plants which each include a motor and a load. A controller is connected in series with each decoupled plant. An adder is configured to receive a set point signal and a negative feedback signal from the plant output and generate an error signal. Each controller receives a set of tuning parameters, modifies the error signal based on a tuning parameter space vector and generates drive signals which actuate the motor, operate the load, and generate the plant output in accordance with a frequency domain assessment function. A compensator samples the error signals and the plant outputs, Fourier transforms the error signals, generates the tuning parameter space vector, based on a frequency domain assessment function, obtains the set of tuning parameters from the tuning parameter space vector, and transmits the frequency domain assessment function and the set of tuning parameters to each controller.

Abstract: A manufacturing condition optimization apparatus includes a yield estimator for estimating a yield of a product having a quality that passes inspection by inspection equipment when a manufacturing condition of the product that is manufactured by manufacturing equipment is changed and an optimization processor for calculating an amount of change in the manufacturing condition at which the yield is maximized.

Abstract: To provide a static eliminator and a static elimination system capable of strictly managing a manufacturing status of a product without increasing a management burden. The static eliminator includes an ion generation unit, an ion control unit, a measurement value acquisition unit, a data generation unit, and a nonvolatile storage unit. The ion generation unit generates ions. The ion control unit controls the ion generation unit. The measurement value acquisition unit acquires a measurement value related to control by the ion control unit and acquires a measurement time at which the measurement value has been acquired. The data generation unit generates history data based on the measurement value and the measurement time. The nonvolatile storage unit stores the history data.

Abstract: A method in an industrial automation system, the method including: transmitting an input data set from an industrial control device to a container manager, the input data set comprising at least input metadata; determining, by the container manager, based on the input metadata, a runtime container for processing input data; generating, by an application of the runtime container, output data based on the input data; generating an output data set by using the container manager, the output data set comprising at least output metadata; and transmitting the output data set from the container manager to the industrial control device.

Abstract: Method for checking the compliance of a workpiece, comprising the following steps: estimating a risk of non-compliance of characteristic on the basis of a law of probability associated with the characteristic; and verifying whether the estimated risk of non-compliance satisfies a decision criterion and, if so, declaring that the workpiece is compliant for characteristic; if not, measuring a value of the characteristic, determining whether or not the workpiece is compliant based on the measured value, and updating the law of probability associated with characteristic based on the measured value.

Abstract: In an approach to improve manufacturing quality, embodiments of the present invention dynamically monitor a degree of influencing factors in a predetermined area, and identify one or more machines used in a predetermined manufacturing process. Further, embodiments generate a digital twin of a predetermined final product associated with the predetermined manufacturing process, and analyze an effect of the influencing factors on the identified one or machines or the predetermined final product. Additionally, embodiments identify upper limit of the influencing facts, and output proposed changes to prevent the effects of the influencing factors based on the identified upper limit.

Abstract: A method includes determining the value of a plurality of selected process variables. Preferably, the respective current value of each selected process variable or a variable derived therefrom is compared with one or more reference values, and in each case at least one deviation or at least one rate of change is determined. On the basis of the determined plurality of deviations and/or rates of change, a stability of a current process state is determined. A computing unit visualizes a process states determined for different points in time and/or cycles by a chart such that a trajectory of the stability of process states for a predetermined period of time and/or over multiple cycles is visible in the chart. The computing unit visualizes a reference that, at a certain point in time, at least one factor was existing which is relevant for an evaluation of the result of the stability's trajectory.

Abstract: The present invention refers to a method for controlling a plant of separation and treatment industrial processes without chemical reaction using artificial intelligence and machine learning, aiming at improving revenues and profits obtained, as well as the performance of the system, and the technique can be applied in steps of conceptual design for a unit in operation, comprising the steps of: defining objectives and gains of the plant; delimiting the plant; evaluation in steady state of the plant; evaluation in dynamic state of the plant; and performing non-linear dynamic simulation of the plant.

Abstract: A control system and method obtain a stress profile of a device disposed onboard industrial equipment. The stress profile represents a stress characteristic of the device over time during operation of the industrial equipment. The system and method determine a smooth zero crossing function based on the stress profile. The smooth zero crossing function includes spikes that represent reversals of the stress characteristic. The system and method generate a control signal based on the smooth zero crossing function.

Abstract: A method for manufacturing system data analysis, preferably including receiving a query, determining a set of digests, and/or determining a query result. The method can optionally include merging the set of digests and/or providing the query result. A system for manufacturing system data analysis, preferably including a set of machines, a plurality of digests, and/or a set of computing systems.

Abstract: Real-time quality control of a culture for bioproduction is facilitated using machine learning. In this approach, real-time process data for a set of parameters for a current production run is received. Based on this process data, a prediction is made using an instance of a machine learning model that has been trained on process data from past production or development runs. The instance is uniquely associated to a particular culture day and thus independent of any other instance of the machine learning model (for other culture days). Based on the prediction, a quality control recommendation for the current production run is then made. Several different types of predictions are enabled, and various different recommendations are provided based on the predictions.

Abstract: The disclosure provides a recommended method for replacing equipment and an electronic device. A plurality of reference electricity consumptions of an equipment are estimated by using an electricity consumption prediction model based on equipment operation information of the equipment in a plurality of unit periods. A plurality of actual electricity consumptions of the equipment in the multiple unit periods are obtained. An abnormal electricity consumption time interval is determined by comparing the actual electricity consumptions with the reference electricity consumptions. A replacement index and an equipment energy efficiency of the equipment in the abnormal electricity consumption time interval are determined according to the equipment operation information of the equipment in the abnormal electricity consumption time interval.

Abstract: An information processing apparatus acquires pieces of normal data belonging to a plurality of intervals of measurement data measured by a device, combines the acquired pieces of normal data to generate combined data, and performs machine learning using the combined data to train a machine learning model that outputs a score indicating a normal condition of a system in which the device is installed, in response to an input of measurement data.

Abstract: An application server stores therein setting information in which a notification target to be notified to each of users is set for each user of an application related to a system, and notifies, when an abnormality occurs in the system, an administrator of the system of the abnormality and also controls the notification of the abnormality for each of the users, based on the setting information.

Abstract: A method, computer system, and a computer program product for machine maintenance is provided. The present invention may include receiving data for one or more assets of a physical ecosystem. The present invention may include generating a digital twin of the physical ecosystem. The present invention may include simulating a performance of the digital twin of the physical ecosystem. The present invention may include generating a task management plan based on the performance of the digital twin.

Abstract: A configurable multi-sensor analog input may be utilized to connect a power system sensor to an intelligent electronic device. The configurable multi-sensor analog input may include an input port comprising a plurality of input pins and configured to receive electrical signals from one of a plurality of types of power system sensors. The configurable multi-sensor analog input may additionally include a plurality of input channels, each of the plurality of input channels coupled to a subset of the input pins, wherein the subset of input pins in electrical communication with of the plurality of types of power system sensors power system sensor is configured to selectively activate one of the plurality of input channels. A multiplexer may be in electrical communication with the plurality of input channels and configured to select an output based on the subset of input pins in electrical communication with one of the plurality of types of power system sensors.

Abstract: An control device includes a first movement plan unit 1 that creates a first movement plan for moving each control object at an initial position to an intermediate position in the control object units, a first movement unit 2 that moves each control object at the initial position to the intermediate position in control object units according to the first movement plan, a second movement plan unit 3 that creates a second movement plan for moving each control object assumed to be at a target position to the intermediate position in the control object units, an intermediate position replacement unit 4 that moves each control object moved by the first movement unit to a movement destination of each control object determined by the second movement plan among the intermediate positions, and a second movement unit 5 that moves each control object at the intermediate position to the target position in the control object units according to a plan obtained by temporally reversing the second movement plan.

Abstract: A robot device includes at least one processor configured to detect a person in a driving area of the robot device, based on a determination that no person is present in the driving area, recognize an object in an input image generated from the image signal using a cloud machine learning model, in a first mode, based on a determination that a person is present in the driving area, recognize the object in the input image generated from the image signal using an on-device machine learning model, in a second mode, and control the driving of the robot device through the moving assembly by using a result of recognizing the object, wherein the cloud machine learning model operates on a cloud server connected through the communication interface, and the on-device machine learning model operates on the robot device.

Abstract: A drone swarm control method is provided. The drone swarm control method includes displaying a drone swarm and a three-dimensional (3D) terrain projected onto a virtual reality (VR) space by using a VR headset, based on user manipulation, selecting a small-scale drone swarm, provided in a region of interest (ROI) set in the 3D terrain, from the drone swarm by using a VR controller, based on the user manipulation, and dividing, by using a server, the ROI into a plurality of cells, respectively allocating the divided plurality of cells to drones included in the small-scale drone swarm, and automatically generating a 3D flight path of a drone allocated to each of the divided plurality of cells, based on user input information representing the small-scale drone swarm and the ROI.

Abstract: Systems and methods for providing a vehicle service are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of a service request to provide a vehicle service for an entity with respect to one or more cargo items designated for autonomous transport. The method includes obtaining a first cargo item among the one or more cargo items, from a representative of the entity at a dedicated first transfer hub proximate to a first location associated with the first cargo item. The method includes controlling a first autonomous vehicle to transport the first cargo item from the first transfer hub to a dedicated second transfer hub proximate to a second location associated with the first cargo item. The method includes providing the first cargo item to a representative of the entity at the second transfer hub, to provide the vehicle service.

Abstract: An autonomous bio-inspired mobile robotic device (200) capable of detecting, tracking and communicating location of survivor(s) (34) trapped under earthquake/building collapse debris (30, 32). The small-size, lightweight, ruggedized autonomous legged mobile robot (200) incorporates high-frequency millimeter-wave radar sensor (10) and Ultra Wideband (IR-UWB) radar sensor (12) for detecting presence and perform ranging of trapped survivor(s) (34). The autonomous mobile robot (200) also comprises GNSS (8) and BLE (4) connectivity for location tracking of trapped survivor(s) (34) in conjunction with a Wi-Fi enabled visual sensing solution (20) and a flashlight (16) to aid during rescue operation. The battery-powered (24) autonomous bio-inspired mobile robot (200) also comprises an MCU (26), actuators (14b), motor control circuitry (18) and IMU (6) to control robot (200) locomotion and perform sensor data fusion.

Abstract: The present invention directs to a moving object control system comprising acquiring a captured image; detecting an obstacle included in the captured image; dividing a region around a moving object and generate an occupancy map indicating occupancy of the obstacle detected for each of divided regions; and generating a global path from a current position to a target position for avoiding the detected obstacle based on a first cost, a second cost, and a third cost, the first cost being higher as a distance from the current position is longer on the occupancy map, the second cost being higher as a distance from the target position is longer on the occupancy map, and the third cost being higher as a distance from a past path is longer on the occupancy map.

Abstract: The present disclosure provides a positioning method, including: obtaining a current local topology map established based on objects in an environment currently observed by a robot, obtaining a full topology map pre-established based on objects in a full environment in a preset area, the current local topology map and the full topology map including nodes representing the objects; matching a node pair to be associated constructed by two nodes in the current local topology map and two nodes in the full topology map; if a degree of association of the node pair to be associated is greater than a threshold, determining that the node pair to be associated is an associated node pair; and determining a pose of the robot according to one of a plurality of search ranches, with a largest number of associated node pairs.

Abstract: A route setting device includes a situation ascertainment unit and a departure route setting unit. The situation ascertainment unit receives an instruction for a work vehicle moving through a field along a preset work route, and acquires the location of the work vehicle. On the basis of the instruction and the work machinery used for work in the field by the work vehicle moving within the field, the departure route setting unit generates a departure route for departing from a work region where work is being done by the work vehicle in the field.

Abstract: An obstacle detection device for a cleaning robot is described, including: an action component, provided on an outer side of a main body of the cleaning robot an elastic component movably connected to the action component, so that the action component is able to move relative to the elastic component, and the elastic component is able to generate deformation during movement of the action component a detection component, mounted on the elastic component and configured to sense the deformation of the elastic component to generate a strain signal; and a controller, configured to control a movement state of the cleaning robot according to the strain signal.

Abstract: The inventive concept provides a transfer robot system. Embodiments of the inventive concept provide a transfer robot system and a transfer robot system driving method in which a bottleneck phenomenon of mobile robots may be prevented, as a new obstacle which does not exist within a map for a mobile robot is recognized in advance during an autonomous driving of the mobile robot and the new obstacle is not passed through. The transfer robot system includes an OHT for transferring an article by autonomously driving along a rail and having a bottom side distance detection sensor installed for generating a distance information of below; and a mobile robot for transferring the article by autonomously driving on the ground and autonomously driving while avoiding an obstacle information generated through the distance information.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: A slope location correction method, comprising the following steps: measuring location data, in a predetermined area, of a robot by using an inertial measurement element of the robot, and calculating a pose of the robot in the predetermined area according to the location data: determining whether there is a slope in the predetermined area by means of the pose of the robot; and if it is determined that there is a slope in the predetermined area, compensating for a location error at the slope by using the pose corresponding to the slope. The present application further relates to a slope location correction apparatus, a robot and a readable storage medium.

Abstract: The apparatus for detecting and removing a dynamic obstacle of a robot and the operating method thereof according to a predetermined exemplary embodiment detect and remove the dynamic obstacle while simultaneously performing the mapping and the localizing using the simultaneous localization and mapping (SLAM) technique to efficiently detect and remove a dynamic obstacle even in a situation in which a dynamic change of surrounding environment is severe and an environment to be localized is large.

Abstract: Systems and methods for configuring a robot to scan for features are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may be configured to scan for features within an environment by producing various computer-readable maps which may be annotated to facilitate organized and accurate feature scanning.

Abstract: Systems and methods for vehicle controllers for agricultural and industrial applications are described. For example, a method includes accessing a map data structure storing a map representing locations of physical objects in a geographic area; accessing current point cloud data captured using a distance sensor connected to a vehicle; detecting a crop row based on the current point cloud data; matching the detected crop row with a crop row represented in the map; determining an estimate of a current location of the vehicle based on a current position in relation to the detected crop row; and controlling one or more actuators to cause the vehicle to move from the current location of the vehicle to a target location.

Abstract: A method using a system and a system having at least one autonomous vehicle, with the autonomous vehicle having at least one drive, at least one brake, and at least one steering, with the vehicle having a navigation system, with the navigation system having a first radio receiver for a global navigation satellite system and a second radio receiver for a global navigation satellite system, with the first radio receiver and the second radio receiver being arranged at a predefined spacing on the vehicle, with the navigation system having a control and evaluation unit to which the first radio receiver and the second radio receiver are connected, with the control and evaluation unit having two independent processor units, with the control and evaluation unit being configured to evaluate the position data of the first radio receiver and the position data of the second radio receiver using both processor units and to compare them with one another, and with the control and evaluation unit being configured to generate

Abstract: A self-moving device, including: a moving module, a task execution module, a control module. The control module is electrically connected to the moving module and the task execution module, controls the moving module to actuate the self-moving device to move, controls the task execution module to execute a working task. The self-moving device further includes a satellite navigation apparatus, electrically connected to the control module and configured to receive a satellite signal and output current location information of the self-moving device. The control module determines whether quality of location information output by the satellite navigation apparatus at a current location satisfies a preset condition, controls, if the quality does not satisfy the preset condition, the moving module to actuate the self-moving device to change a moving manner, to enable quality of location information output by the satellite navigation apparatus at a location after the movement to satisfy the preset condition.

Abstract: Aspects relate to apparatus and methods for autonomously controlling vehicles at a specified location. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate with a monitor device. Communicating with the plurality of vehicles includes receiving status data from the vehicles and transmitting a waypath to the vehicles.

Abstract: Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking, in a convenient, safe manner and thus to save significant amounts of fuel while increasing safety. In an embodiment, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration/deceleration, and speed. Additional safety features in at least some embodiments include providing each driver with one or more visual displays of forward and rearward looking cameras. Long-range communications are provided for coordinating vehicles for linking, and for communicating analytics to fleet managers or others.

Abstract: A method and apparatus of platooning using Ultra Wideband (UWB)-based security authentication is provided. The platooning method performed by a platoon leader vehicle includes: selecting three coordinates present in a path along which the platoon leader vehicle moves, using an Ultra WideBand (UWB) sensor mounted on the platoon leader vehicle; determining a location of a surrounding vehicle using the three coordinates and an estimated distance between the UWB sensor and the surrounding vehicle; performing mutual authentication with the surrounding vehicle, based on the location of the surrounding vehicle; and performing platooning by including the surrounding vehicle in one or more platoon follower vehicles, when the mutual authentication is successful, wherein each of the platoon leader vehicle and the one or more platoon follower vehicles is provided with one or more UWB sensors.