Abstract: An automatic driving method includes following steps: S101: acquiring real-time traffic environment information in a travel process of an autonomous vehicle at a current moment; S102: mapping the real-time traffic environment information based on a preset mapping relationship to obtain mapped traffic environment information; S103: adjusting a target deep reinforcement learning model based on a pre-stored existing deep reinforcement learning model and the mapped traffic environment information; and S104: judging whether automatic driving is finished, and in response to the automatic driving is not finished, returning to perform the step of acquiring the real-time traffic environment information in the travel process of the autonomous vehicle at the current moment. An automatic driving system, an automatic driving device and a computer medium storing the automatic driving method are further provided.

Abstract: A robot control method includes: acquiring target speed information of a robot at a next moment during walking of the robot; and adjusting a step frequency of the robot according to the target speed information and a current state of the robot. An apparatus for controlling a robot and several methods for determining whether the robot meets a step frequency switching condition are provided.

Abstract: The disclosure relates to the technical field of vehicles, and particularly provides a multi-link independent suspension for a vehicle that includes a subframe and a steering knuckle. In order to solve the problem of reduced adjustment efficiency caused by mutual restraining of linkages of an existing multi-link independent suspension when a camber angle is adjusted, the multi-link independent suspension includes a spring control arm that is configured to adjust a camber angle of a wheel center. The multi-link independent suspension also includes a front upper control arm and a rear upper control arm.

Abstract: This application provides a skin care check-in method and an electronic device. The method includes: receiving a first operation that is input by a user; in response to the first operation, displaying at least one skin care check-in plan in which the user participates; obtaining first target information, where the first target information includes one or more of time, a location of the electronic device, a movement status of the user, and a schedule of the electronic device; determining, based on the first target information, whether a preset implementation condition for implementing the at least one skin care check-in plan is met; and if a determining result is that the preset implementation condition is met, displaying first reminder information, where the first reminder information is used to prompt the user to implement the at least one skin care check-in plan.

Abstract: Disclosed are a medical image segmentation method and apparatus, a device, a storage medium, and a program product, which relate to the field of artificial intelligence (AI). The method includes: performing image segmentation on a sample medical image through a source domain segmentation model, to obtain a first segmentation result, the source domain segmentation model being obtained through training based on image data in a source domain, the sample medical image being an unannotated image in a target domain; performing image segmentation on the sample medical image through a target domain segmentation model, to obtain a second segmentation result; correcting the first segmentation result based on the second segmentation result and a segmentation confidence level of the target domain segmentation model, to obtain a corrected segmentation result; and updating training on the target domain segmentation model based on the second segmentation result and the corrected segmentation result.

Abstract: The present disclosure provides a motion control method and apparatus, a robot and a non-transitory storage medium. The method includes: obtaining a jump parameter of the robot, the jump parameter including an expected velocity and an expected jump height before take-off of the robot; obtaining a jump trajectory corresponding to the jump parameter in a preset action library, the action library including a jump trajectory that is marked with a corresponding jump parameter; and controlling the robot to reach the expected velocity, and controlling the robot to jump according to the jump trajectory.

Abstract: A Wasserstein distance and difference metric-combined chest radiograph anomaly identification domain adaptation method and a corresponding system are provided. The method includes the following steps: step 1, data preparation and data pre-processing for chest radiographs; step 2, multi-scale feature extraction based on a swin transformer network; step 3, loss minimization based on a Wasserstein distance and a contrastive domain discrepancy; and step 4, using the model to perform chest radiograph prediction after verifying the model. The method selects source domain samples closest to target domain samples, narrows a distance of the same class between the target domain samples and the source domain samples in feature space, and expands a distance between different classes. Meanwhile, a classification prediction task for the chest radiographs is performed by using the multi-scale features, improving a receptive field and capturing more information conducive to the classification prediction task.

Abstract: An anti-disturbance method for a robot includes: acquiring current speed information of the robot in a moving coordinate system; determining a disturbance state of the robot based on the current speed information and a desired speed of the robot, in which the disturbance state includes a disturbed state and a normal state; and adjusting a gait frequency of the robot, in response to determining that the disturbance state is the disturbed state.

Abstract: A rapid demagnetization method based on characteristics of magnetic media. In the method, basic information is obtained by a recognition module of magnetic media by means of multi-source sensing collaboration. The magnetic medium is identified by using a data processing technology and a magnetic medium identification algorithm, and then the characteristic information is extracted. Optimized set values of demagnetization parameters are obtained by a demagnetization parameter optimizing and setting module based on a demagnetization optimizing model. Demagnetization parameter set values are tracked by a closed-loop control module of a demagnetization magnetic field in combination with domain expert knowledge by using a closed-loop control mechanism integrated with a magnetic field control algorithm, a charging-discharging device, a magnetic field generating device, a magnetic field sensor and an environmental sensor, completing the rapid demagnetization of the magnetic medium.

Abstract: This application proposes a polyamide-imide copolymer film and a flexible display. The polyamide-imide copolymer film is obtained by copolymerizing aromatic dianhydride and aromatic dicarbonyl compound with aromatic diamine. Wherein, the aromatic dicarbonyl compounds include fluorinated aromatic dicarbonyl compound and non-fluorinated aromatic dicarbonyl compound. The polyamide-imide copolymer film can obtain a very low yellow degree index and dual refractive index, which is suitable for the substrate production of flexible display.

Abstract: The optical device includes: a first coupler having an adjustable beam splitting ratio; a sensing arm and a programmable modulation arm which are connected to the first coupler; and a second coupler having an input port connected to the sensing arm and the programmable modulation arm and an output port connected to a photodetector. The sensing arm is used for generating, by means of a slot waveguide, a first signal from a first light wave beam outputted by the first coupler. The programmable modulation arm is used for obtaining, by utilizing a grating, a second signal according to a second light wave beam outputted by the first coupler, and the grating is a nano grating generated under a pre-programmed voltage parameter of a programmable piezoelectric transducer of the programmable modulation arm. An electronic device and a programmable photonic integrated circuit are also disclosed herein.

Abstract: A modular air outlet assembly comprises at least two air outlet sub-modules and a housing connecting member, wherein each of the air outlet sub-modules have different functions and are matchingly engaged in a sealed manner, and the air outlet sub-modules comprise a front sub-module and a rear sub-module; the front sub-module comprises a front housing and a front functional component, and the front housing has a standard air inlet joint; the rear sub-module comprises a rear housing and a rear functional component, and the rear housing has a standard air outlet joint and a standard air duct opening joint. A modular approach is used to design the air outlet assembly, and the relative angle between the air outlet sub-modules can be adjusted by means of different housing connecting members to avoid installation limitations in vehicles, and the mold development cost and related costs are reduced.

Abstract: A robot control method includes: acquiring target speed information of a robot at a next moment during walking of the robot; and adjusting a step frequency of the robot according to the target speed information and a current state of the robot. An apparatus for controlling a robot and several methods for determining whether the robot meets a step frequency switching condition are provided.

Abstract: An automatic driving method includes following steps: S101: acquiring real-time traffic environment information in a travel process of an autonomous vehicle at a current moment; S102: mapping the real-time traffic environment information based on a preset mapping relationship to obtain mapped traffic environment information; S103: adjusting a target deep reinforcement learning model based on a pre-stored existing deep reinforcement learning model and the mapped traffic environment information; and S104: judging whether automatic driving is finished, and in response to the automatic driving is not finished, returning to perform the step of acquiring the real-time traffic environment information in the travel process of the autonomous vehicle at the current moment. An automatic driving system, an automatic driving device and a computer medium storing the automatic driving method are further provided.

Abstract: An image segmentation model training method includes acquiring a first image, a second image, and a labeled image of the first image; acquiring a first predicted image according to a first network model; acquiring a second predicted image according to a second network model; determining a reference image of the second image based on the second image and the labeled image of the first image; and updating a model parameter of the first network model based on the first predicted image, the labeled image, the second predicted image, and the reference image to obtain an image segmentation model.

Abstract: The present invention is to provide a method capable of visualizing a coating state of a protein adsorbent even on a substrate having a complicated structure, in particular, for use on a surface of an apparatus for culturing or growing living cells. The method comprises coating a series of substrates with selected protein adsorbents and fluorescent dye, irradiating selected coated substrates and determining a coating state from color development of the substrates.

Abstract: A piezoelectric energy harvester has a layered structure comprising a first electrode, a polymeric piezoelectric material, and a second electrode, the layered structure coupled to receive mechanical stress from the environment, and the first and second electrode electrically coupled to a power converter. The power converter is adapted to charge an energy storage device selected from a capacitor and a battery. The method of harvesting energy from the environment includes providing a piezoelectric device comprising a layer of a polymeric piezoelectric material disposed between a first and a second electrode; coupling mechanical stress derived from an environment to the piezoelectric device; and coupling electrical energy from the piezoelectric device.

Abstract: A multi-legged robot load balancing method, a multi-legged robot, and a storage medium are provided. The method includes: calculating a current position and velocity of a load positioned on a torso according to a value measured by a force sensor; calculating, through a feedback control law, a desired posture of the torso required for keeping a balance of the load according to the current position and the current velocity of the load; determining an expected position of virtual joints according to the desired posture of the torso, and calculating, using a full dynamics control algorithm of the robot, a joint torque for each real joint of the robot according to the expected position; and transmitting the calculated joint torques to the corresponding real joints so that the torso is moved to reach the desired posture by moving the corresponding real joints.

Abstract: A method for a multi-legged robot having a body and a number of legs, includes: obtaining a current pose of the body, forces applied to the body, and joint angles of each of supporting legs of the legs; creating a mapping matrix from the forces applied to the body to desired support forces applied to soles of the supporting legs; obtaining priority targets by prioritizing the forces acting in different directions, determining a weight matrix for each priority target, and creating an optimization model of the support forces for each priority target based on the mapping matrix and the weight matrices; solving the optimization model of each of the priority targets to obtain the desired support forces corresponding to each of the priority targets; and calculating joint torques of the supporting legs for joint control, based on the solved desired support forces and Jacobian matrices corresponding to the supporting legs.