Abstract: A light attenuating device includes a housing, a first filter, a first motor configured to move the first filter, and a pneumatic actuator configured to move the first filter to either be in contact with the housing or to not be in contact with the housing. The filter includes multiple slit openings that vary in width such that the amount of light that passes through the multiple slit openings varies as the first filter is moved. The light attenuating device may also include a second filter and a second motor configured to move the second filter. A method of light attenuation is also disclosed that includes adjusting the position of a filter such that a portion of the filter is irradiated by a radiating beam, and while maintaining the irradiation of the portion of the filter, moving the filter to be in contact with a thermally conductive object.

Abstract: A service data transmission method, to simplify a structure of a communication network and facilitate planning of the communication network by service planning personnel. The method includes: A service receiving device actively sends a MAC address of the service receiving device to a plurality of service sending devices that have a connection relationship with the service receiving device, and each service sending device configures local routing information based on the MAC address. The MAC address of the service receiving device does not need to be obtained based on an ARP request, avoiding a limitation on an IP address of a device port caused by the ARP request. An IP address of one device is used to replace IP addresses of a plurality of ports of the device, simplifying a communication network.

Abstract: The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to collect sensing data, characterizing an environment of the vehicle, the sensing data including infrared sensing data. The system further includes a data processing system operatively coupled to the sensing system and configured to process the sensing data using a classifier machine-learning model to obtain a classification of one or more vulnerable road users present in the environment of the vehicle.

Abstract: A computing system for performing distributed large scale reinforcement learning with improved efficiency can include a plurality of actor devices, wherein each actor device locally stores a local version of a machine-learned model, wherein each actor device is configured to implement the local version of the machine-learned model at the actor device to determine an action to take in an environment to generate an experience, a server computing system configured to perform one or more learning algorithms to learn an updated version of the machine-learned model based on the experiences generated by the plurality of actor devices, and a hierarchical and distributed data caching system including a plurality of layers of data caches that propagate data descriptive of the updated version of the machine-learned model from the server computing system to the plurality of actor devices to enable each actor device to update its respective local version of the model.

Abstract: System and methods to control resource distribution to fields are provided. A data processing system can identify a plurality of zones of the field, and can receive, from a client computing device, registration information of a node. The registration information can correlate the node with a zone of the field. The data processing system can obtain, via a gateway device and from the node, a first data file including field metric data and a second data file including third party data that pertains to the field. The data processing system can determine a resource distribution schedule based at least in part on data of the first data file and data of the second data file. The data processing system can receive, via the gateway device, a prompt from the node, and can provide an instruction to control a valve to regulate resource distribution to a portion of the field.

Abstract: The invention pertains to construction of next-generation DNA sequencing (NGS) libraries for whole genome sequencing, targeted resequencing, sequencing-based screening assays, metagenomics, or any other application requiring sample preparation for NGS.

Abstract: This application relates to the field of robot control, and provides a motion state control method and apparatus, a device, and a readable storage medium. The method includes the following steps: Step 301: Acquire basic data and motion state data, the basic data being used for representing a structural feature of a wheeled robot, and the motion state data being used for representing a motion feature of the wheeled robot. Step 302: Determine a state matrix of the wheeled robot based on the basic data and the motion state data, the state matrix being related to an interference parameter of the wheeled robot, the interference parameter corresponding to a balance error of the wheeled robot. Step 303: Determine, based on the state matrix, a torque for controlling the wheeled robot. Step 304: Control, by using the torque, the wheeled robot to be in a standstill state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.

Abstract: A method includes: obtaining current motion state data of the wheel-legged robot, the current motion state data representing motion features of the wheel-legged robot, inputting the current motion state data into a nonlinear controller to obtain a target joint angular acceleration reference value of a target robot joint of the wheel-legged robot, and inputting the target joint angular acceleration reference value into a whole-body dynamics controller to output a joint torque for controlling the wheel-legged robot to perform a control task.

Abstract: A method for controlling motion of a legged robot includes determining one or more candidate landing points for each foot of the robot. The method further includes determining a first correlation between a center of mass position change parameter, candidate landing points, and foot contact force. The method further includes determining, under a constraint condition set and based on the first correlation, a target center of mass position change parameter, a target step order, and a target landing point for each foot selected among the one or more candidate landing points for the respective foot, the constraint condition set constraining a step order. The method further includes controlling, according to the target center of mass position change parameter, the target step order, and the target landing point for each foot, motion of the legged robot in the preset period.

Abstract: Next-generation wearable electronics require enhanced mechanical robustness and device complexity. Besides previously reported softness and stretchability, desired merits for practical use include elasticity, solvent resistance, photo-patternability and high charge carrier mobility. The present embodiments provide a molecular design concept that simultaneously achieves all these targeted properties in both polymeric semiconductors and dielectrics, without compromising electrical performance. This is enabled by covalently-embedded in-situ rubber matrix (iRUM) formation through good mixing of iRUM precursors with polymer electronic materials, and finely-controlled composite film morphology built on azide crosslinking chemistry which leverages different reactivities with C—H and C?C bonds. The high covalent crosslinking density results in both superior elasticity and solvent resistance.

Abstract: This disclosure is related to a robot motion control method and apparatus. The method includes: obtaining a center-of-mass reference trajectory used for guiding the robot to execute a target motion; obtaining, based on optimization of an objective function, center-of-mass control information for controlling the robot to follow the center-of-mass reference trajectory to move; generating joint control information according to the center-of-mass control information and a structure matrix of the robot; and controlling the robot to execute the target motion based on the joint control information.

Abstract: A legged robot motion control method includes: acquiring centroid state data of a spatial path start point and a spatial path end point of a motion path; determining a target landing point of afoot of the legged robot in the motion path based on the spatial path start point and the spatial path end point; determining a change relationship between a centroid position change coefficient and a foot contact force based on the centroid state data; selecting, under constraint of a constraint condition set, a target centroid position change coefficient that meets the change relationship; the constraint condition set including a spatial landing point constraint condition; determining a target motion control parameter according to the target centroid position change coefficient and the target landing point of the foot; and controlling, based on the target motion control parameter, the legged robot to perform motion according to the motion path.

Abstract: A driver device may comprise a housing and a hole located on the housing. The hole may comprise a sealing lip. The driver device may comprise a bit holder located within the housing, and a bit socket located on the bit holder. The bit socket may be aligned with the hole, such that inserting a bit into the bit socket also inserts the bit into the hole. The driver device may comprise a spring located within the bit socket. The spring may cause an inserted bit to partially exit the hole in the absence of an external force pushing the it against the spring. The driver device may comprise a vacuum component connected to the housing, and a vacuum chamber within the housing.

Abstract: A method of forming solder paste on an object is provided. The method includes providing a multilayered stencil, each stencil layer having an aperture formed therethrough from a top surface of the respective stencil layer to a bottom surface of the stencil layer. The method also includes applying the stencil to a surface of the object. The method also includes filling a void space formed by a combination of the apertures in the stencil layers with solder paste. The method also includes removing the stencil layers in a sequential manner to leave the solder paste.

Abstract: A method for controlling motion of a legged robot includes: determining, according to state data of the legged robot at a start moment in a preset period, a candidate landing point of each foot in the preset period; determining, according to the state data at the start moment and the candidate landing point of each foot, a first correlation between a centroid position change parameter, a step duty ratio, a candidate landing point, and a foot contact force; determining, under a constraint of a constraint condition set, a target centroid position change parameter, a target step duty ratio, and a target landing point satisfying the first correlation; and controlling, according to the target centroid position change parameter, the target step duty ratio, and the target landing point, motion of the legged robot in the preset period.

Abstract: A method for measuring an antenna downtilt angle based on a multi-scale deep semantic segmentation network is disclosed, including: collecting base station antenna data by using an unmanned aerial vehicle, and labeling an acquired antenna image with a labeling tool to make a data set; calling the data set for training and debugging a model; recognizing and detecting a target antenna, performing semantic segmentation on an output image, finally obtaining a target image finally segmented, and calculating a downtilt angle of the target image. The method is highly applicable, cost-effective, and safe.

Abstract: The present disclosure relates to a coaxial lead structure and method for radiating a GIS partial discharge UHF signal outward. The structure includes a GIS cavity, a circular hole provided on the GIS cavity, a medium cylinder provided at the circular hole and sealing the circular hole, a thin cylindrical metal lead that extends into and is fixed to the medium cylinder, and a ground lead connected to the thin cylindrical metal lead. According to the present disclosure, a relatively strong signal may be obtained outside a coaxial lead structure, and detection of a partial discharge UHF signal at this position may increase the detection sensitivity by one time compared with the detection methods of built-in and external disc insulators.

Abstract: A legged robot motion control method, apparatus, and device, and a storage medium. The method includes: acquiring center of mass state data corresponding to a spatial path starting point and spatial path ending point of a motion path; determining a candidate foothold of each foot in the motion path based on the spatial path starting point and the spatial path ending point; determining a variation relationship between a center of mass position variation coefficient and a foot contact force based on the center of mass state data; screening out, under restrictions of a constraint set, a target center of mass position variation coefficient and target foothold that satisfy the variation relationship; determining a target motion control parameter according to the target center of mass position variation coefficient and the target foothold; and controlling a legged robot based on the target motion control parameter to move according to the motion path.

Abstract: This application relates to a planar contour recognition method and apparatus, a computer device, and a storage medium. The method includes obtaining a target frame image collected from a target environment; fitting edge points of an object plane in the target frame image and edge points of a corresponding object plane in a previous frame image to obtain a fitting graph, the previous frame image being collected from the target environment before the target frame image; deleting edge points that do not appear on the object plane of the previous frame image, in the fitting graph; and recognizing a contour constructed by remaining edge points in the fitting graph as a planar contour.