Abstract: A networked control system for controlling at least one plant includes a receiver configured to receive a feedback signal indicative of a current state of a controlled variable of a plant over a wireless link and a controller configured to determine a control command based on a control error between a reference state of the controlled variable and the current state of the control variable. The system also includes a processor configured to determine, based on a function of the control error, a number of transmission times a packet with the control command needs to be transmitted over the wireless link, and a transmitter configured to transmit the packet over the wireless link the number of transmission times.

Abstract: A method (400) for configuring an industrial automation system (1) for internet-of-things accessibility involves a computing device (101) which a) receives (410) a first user input indicative of a functional object (70) representing one or more low-level devices (10) and/or automation devices (20) and/or supervising and production control devices (30). The computing device (101) also b) receives (420) a second user input indicative of a cloud object (72) representing a cloud service provider (3) being external to the industrial automation system (1). The computing device (101) further c) receives (430) a third user input indicative of a user terminal object (74) representing a user terminal device (4) being external to the industrial automation system (1).

Abstract: An inspection system may receive inspection datasets from a defect inspection system associated with inspection of one or more samples, where an inspection dataset of the plurality of inspection datasets associated with a defect includes values of two or more signal attributes and values of one or more context attributes. An inspection system may further label each of the inspection datasets with a class label based on respective positions of each of the inspection datasets in a signal space defined by the two or more signal attributes, where each class label corresponds to a region of the signal space. An inspection system may further segment the inspection datasets into two or more defect groups by training a classifier with the values of the context attributes and corresponding class labels for the inspection datasets, where the two or more defect groups are identified based on the trained classifier.

Abstract: Methods, apparatus, and computer program products for analyzing, monitoring, and/or modeling the manufacture of a type of part by a manufacturing process. Non-destructive evaluation data and/or quality related data collected from manufactured parts of the type of part may be aligned to a simulated model associated with the type of part. Based on the aligned data, the manufacturing process may be monitored to determine whether the manufacturing process is operating properly; aspects of the manufacturing process may be spatially correlated to the aligned data; and/or the manufacturing process may be analyzed.

Abstract: A parallel control method for an intelligent workshop is provided, comprising the following steps: step A: constructing a parallel control simulation platform; step B: establishing a parallel execution mechanism; and, step C: correcting and optimizing a parallel control system. A parallel control system for an intelligent workshop is provided, comprising: an MES module configured to issue production instructions to unit management modules; the unit management modules configured to convert the received production instructions into machine instructions and synchronously issue the machine instructions to underlying PLCs by a bus control network module, and drive the parallel control simulation platform and a field device to move by a soft PLC and a hard PLC; the bus control network module configured to establish a communication network among the MES module, an SCADA module, an industrial personal computer, physical devices and a whole-line simulation model; and, the SCADA module.

Abstract: A plant management system includes: a control device; and a management device. The control device includes: a manipulation parameter setting unit that sets values of manipulation parameters; a state parameter acquisition unit that acquires values of state parameters indicating an operating condition of the plant; and a transmitter that transmits these values to the management device. The management device includes: an acquisition unit that acquires these values; a database that stores set values of manipulation parameters and actually measured values or predicted values of state parameters when the plant is operated based on the set values, corresponding to each other; and a determination unit that determines a set value of a manipulation parameter capable of improving a value of a predetermined state parameter of the plant by referring to these values and the database.

Abstract: A shelf, a dispatching method, a dispatching device, and an operation dispatching system relating to the field of intelligent warehousing technology, the shelf including: a storage device for placing an article; a motion device for moving the shelf; a power device for providing energy to the motion device; a communication device configured to communicate with a control center; and a controller that controls communication of the communication device with the control center and controls motion of the motion device.

Abstract: A storage, retrieval and processing system is disclosed for processing objects. The system includes a plurality of bins including objects to be distributed by the processing system, said plurality of bins being provided in at least a partially generally circular arrangement, a programmable motion device that includes an end effector for grasping and moving any of the objects, said programmable motion device being capable of reaching any of the objects within the plurality of bins, and a plurality of destination containers for receiving any of the objects from the plurality of bins, said plurality of destination containers being provided in a region that is generally within the at least partially generally circular arrangement of the plurality of bins.

Abstract: In one aspect, an example method includes (i) while a media playback device of a vehicle is playing back content received on a first channel, generating, by the media playback device, a query fingerprint using second content received on a second channel; (ii) sending, by the media playback device, the query fingerprint to a server that maintains a reference database containing a plurality of reference fingerprints; (iii) receiving, by the media playback device from the server, identifying information corresponding to a reference fingerprint of the plurality of reference fingerprints that matches the query fingerprint; and (iv) while the media playback device is playing back the first content received on the first channel, providing, by the media playback device for display, at least a portion of the identifying information.

Abstract: A health monitoring system includes at least one sensor. A health monitoring unit (HMU) is operatively connected to the at least one sensor to receive data therefrom and to generate at least one status indicator (SI) based on the data from the at least one sensor. A computing device is operatively connected to the HMU to receive data therefrom and is configured to generate a health notification when a quantity of the SI that are greater than or equal to a pre-determined SI threshold exceed a pre-determined peak count threshold. A method for monitoring and determining the health of a component includes collecting data during a sample cycle from at least one sensor to generate a numerical SI for a given component with a computing device. The method includes identifying if the numerical SI qualifies as a peak SI, which is greater or equal to a pre-determined SI threshold.

Abstract: A remote movement system of the invention comprises an operation terminal and a vehicle electronic control unit. The operation terminal includes a touch sensing portion which senses a finger of a user touching the touch sensing portion and a terminal electronic control unit configured to transmit a control execution command for requesting an execution of a remote movement control to cause a vehicle to move to a target position when movement of the user's finger touching the touch sensing portion satisfies a predetermined touch interaction condition. The vehicle electronic control unit is provided in the vehicle and configured to execute the remote movement control in response to receiving the control execution command from the terminal electronic control unit. The predetermined touch interaction condition does not include a condition that the user's finger moves, touching the touch sensing portion along a predetermined specific path.

Abstract: A program stored in a mobile terminal including a computer, a camera, a display, and a communication device, the program being configured to operate an operation target vehicle from outside with use of the mobile terminal, the operation target vehicle being registered in advance, the program causing the computer to execute: a step of estimating a distance from the mobile terminal to the operation target vehicle based on a size of an image of the operation target vehicle included in a photographed image of the camera; a step of determining whether or not the estimated distance is less than a prescribed threshold; a step of receiving an operation instruction with respect to the operation target vehicle when the estimated distance is less than the threshold; and a step of causing the communication device to output a signal instructing an operation in response to the received operation instruction.

Abstract: A control method for an unmanned aerial vehicle (UAV) includes receiving a plurality of control instructions from a plurality of control devices, and executing a control operation according to the plurality of control instructions.

Abstract: A first pattern associated with a performer may be recognized based upon visual information. A sensor carried by an unmanned aerial vehicle may be configured to generate output signals conveying the visual information. A first distance may be determined between the first pattern and the unmanned aerial vehicle. A second pattern associated with a performee may be recognized based upon the visual information. A second distance may be determined between the second pattern and the unmanned aerial vehicle. Flight control may be adjusted based upon the first distance and the second distance. A flight control subsystem may be configured to provide the flight control for the unmanned aerial vehicle.

Abstract: A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.

Abstract: A method of controlling a robot, including operating in a following travel mode of following a user, operating in a guide mode for providing an escort service of providing guidance to a predetermined destination according to a received detection signal, and switching back to the following travel mode upon detecting specific movement of the user, in the guide mode.

Abstract: Methods and systems for remote support of autonomous operation of vehicles have been disclosed. State indicators are generated by a first state display based on state data from a portion of vehicles assigned to a respective first level control station. A second state display is generated for a second control station and displays state indicators for the state data of the vehicles. A remote support interface including the first state display and image data received from a first vehicle of the vehicles is generated. Instruction data to the first vehicle is transmitted using the remote support interface and based on an indication that the first vehicle needs remote support, the instruction data modifying the autonomous operation of the first vehicle. A workload between the first level control stations is allocated by assigning the vehicles using the state indicators of the second state display.

Abstract: A system and method for route modification to continue fully-autonomous driving is provided. The method includes operating a vehicle in a Level 3 autonomous driving mode according to a determined route; collecting data in real time concerning the route ahead of the vehicle; based on the collected data, identifying areas of the route ahead of the vehicle that would require the vehicle to leave the Level 3 autonomous driving mode; modifying the route based on the identified areas to continue operating in the Level 3 autonomous driving mode; and operating the vehicle in a Level 3 autonomous driving mode according to the modified route.

Abstract: A method for emergency assistance, the method may include detecting a vehicle situation or receiving information regarding the vehicle situation; monitoring an interaction of a driver with at least one member of a group of vehicle control elements to provide monitored interaction information, wherein the group of vehicle control elements comprises a brake and a gas pedal; determining, based on the vehicle situation and the monitored interaction information, whether the monitored interaction is indicative of an emergency situation; wherein the determining comprises applying a decision rule that is responsive to the vehicle situation; and applying an emergency situation driving procedure when determining that the monitored interaction is indicative of the emergency situation.

Abstract: The present invention relates generally to techniques for improving fuel efficiency of a vehicle powered by an internal combustion engine capable of operating at various displacement levels. An autonomous driving unit or cruise controller selects when possible an engine torque output that corresponds to a fuel efficient displacement level. The resultant vehicle speed profile and NVH level is acceptable to vehicle occupants.

Abstract: A planned path is received from a vehicle along with a status of a perception subsystem in the vehicle. A remedial action is initiated determining that the status of the perception subsystem is healthy and the planned path deviates by more than a threshold from a detected path.

Abstract: The present disclosure relates generally to systems and methods for generating, processing and correlating data from multiple sensors in an autonomous navigation system, and more particularly to the utilization of configurable and dynamic sensor modules within light detection and ranging systems that enable an improved correlation between sensor data as well as configurability and responsiveness of the system to its surrounding environment.

Abstract: System, methods, and other embodiments described herein relate to generating a path for a vehicle to travel. In one embodiment, a method includes receiving left and right boundary points of a corridor in which the vehicle is to travel and creating point pairs from the left and right boundary points. Respective ones of the point pairs include one of the left boundary points and one of the right boundary points that is a closest corresponding point of the right boundary points. The method further includes generating an output path according to an optimization problem that determines path points, with a respective one of the path points for each of the point pairs. The point pairs function as hard constraints for the corresponding respective ones of the path point.

Abstract: This invention relates to a self-driving luggage and a method of showing its operation. A self-driving luggage comprises a plurality of electronic components, covered and protected by protecting shells. Wherein the protecting shells are at least partly made of transparent materials and at least one of the case shells is made of transparent materials such that the operation of the electronic components is capable to be observed without opening the shells of the luggage. The said electronic components include a light indicator configured to alert or indicate a testing result.

Abstract: A system and method for explaining actions of a vehicle, including: receiving an indication associated with at least one action of the vehicle; receiving a data input from the vehicle, wherein the data input is associated with at least one of: an external environment of the vehicle and an internal environment of the vehicle; analyzing the indication with respect to the data input to determine when it is desirable to provide an explanation for the at least one action of the vehicle; selecting, when it is desirable to provide an explanation for the at least one action, a predetermined plan including an explanation of the at least one action, wherein the selection is based on the analysis of the indication with respect to the data input; and, executing the predetermined plan.

Abstract: Consumption information associated with a user consuming video segments may be obtained. The consumption information may define user engagement during a video segment and/or user response to the video segment. Sets of flight control settings associated with capture of the video segments may be obtained. The flight control settings may define aspects of a flight control subsystem for the unmanned aerial vehicle and/or a sensor control subsystem for the unmanned aerial vehicle. The preferences for the flight control settings of the unmanned aerial vehicle may be determined based upon the first set and the second set of flight control settings. Instructions may be transmitted to the unmanned aerial vehicle. The instructions may include the determined preferences for the flight control settings and being configured to cause the unmanned aerial vehicle to adjust the flight control settings to the determined preferences.

Abstract: The present disclosure provides an operation method of a movable device. The operation method includes sensing, by the movable device, whether the movable device is thrown out by a thrower; in response to a sensing of being thrown out, controlling the movable device to hover in air; and after controlling to hover, performing, by the movable device, an aerial operation of the movable device. The disclosed operation method incorporates a throw operation such that a flat ground, or even a ground with any surface condition, is not required for the movable device to take off. Therefore, energy may be saved. Moreover, after the movable device is self-controlled to hover in the air, the movable device may be able to perform subsequent aerial operations such as capturing images.

Abstract: According to one embodiment of the present disclosure, an industrial facility is provided comprising a tag layout and at least one ingress/egress zone. The tag layout comprises at least one double row of tags. The ingress/egress zone is located outside of an area of the vehicle travel plane occupied by the aisle path and is bounded in its entirety by the double row of tags, by two or more double rows of tags, by a combination of one or more double rows of tags and one more selected facility boundaries, or by combinations thereof. The double row of tags is arranged in an n×m matrix that is configured for successive detection of the inner and outer rows of tags that is dependent on the point-of-origin of a sensor transit path across the double row of tags. Additional embodiments are disclosed and claimed.

Abstract: A method for controlling an ego vehicle during a collision of the vehicle with another vehicle includes an ascertainment of a driving direction of the other vehicle, a determination of a steering signal for aligning a driving direction of the ego vehicle with the driving direction of the other vehicle and a provision of the steering signal to an interface of a steering unit for steering the ego vehicle.

Abstract: A vehicle control device is configured to include a steering control unit. The steering control unit is configured to perform a steering control such that a vehicle passes between a first obstacle of which a position in a lateral direction is closest to the vehicle, among one or multiple obstacles existing ahead of the vehicle on a left side of the traveling direction and a second obstacle of which a position in the lateral direction is closest to the vehicle, among one or multiple obstacles existing ahead of the vehicle on a right side of the traveling direction, and if there exists a third obstacle closer to the vehicle than the first obstacle and the second obstacle, inhibit the steering control to one side where the third obstacle exists either on the left side of the traveling direction or the right side of the traveling direction.

Abstract: A control apparatus for performing travel control of a vehicle comprises a sensor configured to detect a state around the vehicle, and a travel controller configured to perform travel control for automated driving based on a detection result of the sensor. The travel controller is configured to, in a case where a predetermined condition is satisfied, select a target stop position located in a latitudinal direction with respect to a direction in which the vehicle moves, according to selection criteria, and to stop the vehicle at the target stop position. The selection criteria include a comparison between a speed of the vehicle and a threshold speed.

Abstract: Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.

Abstract: Embodiments for implementing intelligent driving comfort adjustment of an autonomous vehicle by a processor. A user experience satisfaction level may be determined during a journey within an autonomous vehicle according to historical user experience satisfaction levels, a user profile, one or more contextual factors, or a combination thereof. One or more performance characteristics of the autonomous vehicle may be adjusted if a user experience satisfaction level is less than a predetermined threshold.

Abstract: A method for controlling a vehicle based on a driver-centric model is presented. The method includes generating a trajectory for the vehicle and receiving an input from a driver. The method also includes generating a velocity profile and an acceleration profile based on a combination of the trajectory and the input. The method further includes controlling the vehicle based on the velocity profile and the acceleration profile.

Abstract: A path tracking method is provided. The path tracking method includes obtaining a current location and a current traveling direction of the mobile vehicle, and determining a traveling path along which the mobile vehicle travels to a destination based on the current location and the current traveling direction; simplifying the mobile vehicle into a differential model, establishing a forward objective function of the differential model in the traveling path, and obtaining an optimal solution of the forward objective function; and controlling a speed of the mobile vehicle corresponding to the differential model by using the optimal solution as an optimal differential control variable, until the mobile vehicle reaches the destination. The path tracking method is simple in calculation, adopts algorithms that is naturally stable, and is used in combination with integrated navigation, thereby ensuring stability and reliability of tracking.

Abstract: Provided are an artificial intelligence (AI) system using a machine learning algorithm like deep learning, or the like, and an application thereof. A robotic cleaning apparatus that generates map data includes a communication interface comprising communication circuitry, a memory configured to store one or more instructions, and a processor configured to control the robotic cleaning apparatus by executing the one or more instructions. The processor is configured, by executing the one or more instructions, to control the robotic cleaning apparatus to: generate basic map data related to a cleaning space, and generate object information regarding at least one object in the cleaning space, the object information being generated based on information obtained by the robotic cleaning apparatus regarding the object in a plurality of different positions of the cleaning space, and including information about a type and a position of the object.

Abstract: A speed planning method and apparatus and a calculating apparatus for automatic driving of a vehicle. The method comprises: using a training sample set to perform machine learning to obtain a machine learning model; partitioning an input space, and obtaining a decision result corresponding to a determined partition based on the obtained machine learning model to form a partition decision table of each partition corresponding to the corresponding decision result; and obtaining each dimensional feature vector of a vehicle while driving in real time as an input feature, determining an input partition to which the input feature belongs, and querying the partition decision table based on the determined partition to obtain the corresponding decision result.

Abstract: Provided is a method of sensing a three-dimensional (3D) space using at least one sensor. The method can include acquiring spatial information over time for the sensed 3D space, applying a neural network based object classification model to the acquired spatial information over time to identify at least one object in the sensed 3D space. The method can also include tracking the sensed 3D space including the identified at least one object, and using information related to the tracked 3D space.

Abstract: Systems and methods described herein relate to vehicular navigation. One embodiment generates a polyline reference path for a vehicle; stores a representation of the polyline in a data structure; detects a plurality of obstacles ahead of the vehicle; identifies one or more obstacle gates among the plurality of obstacles using path coordinates relative to the reference path, each obstacle gate including at least one cluster of obstacles; identifies one or more gaps within each of the one or more obstacle gates; determines an obstacle-avoidance path for the vehicle that passes through a particular one of the one or more gaps in each of the one or more obstacle gates; and controls one or more aspects of operation of the vehicle based, at least in part, on the obstacle-avoidance path.

Abstract: A vehicle can include various sensors to detect objects in an environment. Sensor data can be captured by a perception system in a vehicle and represented in a voxel space. Operations may include analyzing the data from a top-down perspective. From this perspective, techniques can associate and generate masks that represent objects in the voxel space. Through manipulation of the regions of the masks, the sensor data and/or voxels associated with the masks can be clustered or otherwise grouped to segment data associated with the objects.

Abstract: Various embodiments include processing devices and methods for navigation of a robotic vehicle. Various embodiments may include a rearward-facing image sensor mounted such that its plane angle aligns with a navigation plane of the robotic vehicle. In various embodiments, the image sensor of the robotic vehicle may capture images and a processor of the robotic vehicle may execute simultaneous localization and mapping (SLAM) tracking using the captured images. Embodiments may include a processor of the robotic vehicle determining whether the robotic vehicle is approaching a barrier. If the robotic vehicle is approaching a barrier, the processor may determine whether a rotation angle of the image sensor of the robotic vehicle exceeds a rotation threshold. If the rotation angle exceeds the rotation threshold then the processor may determine whether SLAM tracking is stable; and reinitialize a pose of the robotic vehicle in response to determining that SLAM tracking is not stable.

Abstract: An autonomous driving device includes a map recording a content having different type for each position while one or a plurality of contents and positions are associated with each other, an acquisition unit acquiring the content corresponding to a first position on the map, a specification storage unit storing a plurality of autonomous driving modes of the vehicle and the type of content necessary for the execution of the modes in association with each other, a selection unit selecting an executable autonomous driving mode based on the type of content acquired by the acquisition unit and the type of content stored in the specification storage unit, and a control unit controlling the vehicle at the first position in the selected autonomous driving mode, the selection unit determines one autonomous driving mode based on an order of priority set in advance when there is a plurality of executable autonomous driving modes.

Abstract: There is provided a control system and a control method that can improve the convenience of delivery service by reducing the number of redeliveries by using an automatic home delivery locker vehicle that goes around in a region.

Abstract: A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

Abstract: A system is provided that controls an industrial vehicle responsive to encountering working environment tags. The system comprises a transceiver and a tag reader mounted on the industrial vehicle. Also, the system comprises an information processing device communicably coupled to the transceiver and the tag reader. The information processing device comprises a processor in data communication with memory. In this regard, the processor is programmed to receive an identifier of a tag detected by the tag reader while the industrial vehicle is being operated within a work environment, and access electronically, a predetermined action based upon the identifier of the detected tag. The processor is further programmed to communicate information across a vehicle network bus to at least one electronic component of the industrial vehicle to perform the predetermined action, wherein the predetermined action automatically modifies a working state of the industrial vehicle.

Abstract: More efficient data transmission of safety-relevant data is achieved by a method for transmitting data between the central control apparatus and a plurality of decentralized devices, which includes generating, in the central control apparatus, a data telegram for the broadcast or multicast transmission of data to a plurality of devices, unidirectionally transmitting the data telegram from the central control apparatus to at least one decentralized device, monitoring the transmission duration of the transmission of the data telegram from the central control apparatus to the at least one decentralized device, and triggering a predetermined safety reaction if the transmission duration exceeds a predefined value. Further, a control and data transmission system designed to carry out the method, and means belonging to such a system.

Abstract: A tether control system for an inspection vehicle operable in a housing having a liquid medium is disclosed in the present application. The tether system includes a tether connected between the inspection vehicle and an electronic controller. A controllable buoyancy system associated with the tether is operable for moving the tether in a desired location. The controllable buoyancy system includes one or more floating bodies having a propulsion system and one or more buoyant elements having variable buoyancy capabilities.

Abstract: An operating system for a working machine includes drones having GNSS receivers, and working machines having take-off and landing ports and is configured so that positional information on the working machines is acquired by the GNSS receivers of the drones to be placed on the take-off and landing ports.

Abstract: Exemplary embodiments described in this disclosure are generally directed to a multi-drone automotive system that includes a first drone configured to carry one or more detachable drones. The first drone, which may be referred to as a carrier drone, may be mounted upon an automobile and operated in a tethered mode of flight. The detachable drones may be launched from the carrier drone to carry out untethered flight. The carrier drone and/or the detachable drones may be used for various applications. In one example application, the carrier drone may use a first camera that is mounted upon the carrier drone, to capture a first set of images during the tethered mode of flight. A detachable drone may be launched from the carrier drone in an untethered mode of flight in order to capture a second set of images by using a second camera mounted upon the detachable drone.

Abstract: A method for controlling an unmanned aerial vehicle within a flight operating space. The unmanned aerial vehicle includes one or more sensor arrays on each spar. The method includes determining, using a plurality of sensor arrays, a flight path for the unmanned aerial vehicle. The method also includes receiving, by at least one sensor array of the plurality of sensor arrays, sensor data identifying at least one object in the operating space. The sensor data is transmitted over a communications bus connecting components of the UAV. The method further includes determining, by one or more processors onboard the unmanned aerial vehicle, a flight path around the at least one object. The method also includes generating, by the one or more onboard processors, a first signal to cause the unmanned aerial vehicle to navigate within the operating space around the at least one object.