Abstract: A robot control method includes: the first control instruction of the robot is obtained; the behavior blueprint corresponding to the first control instruction is determined, the behavior blueprint including the plurality of blueprint nodes connected according to the target sequence; and the preset functions corresponding to the blueprint nodes are executed according to the target sequence. The preset functions corresponding to the blueprint nodes may include the atomic API ability, the meta skill and the task skill. The atomic API ability is used for characterizing a specific function executed by the robot through a component, the meta skill is used for characterizing a function of an execution unit of the robot, the task skill is used for characterizing a function of user-oriented execution of a target task by the robot, the robot includes one or a plurality of execution units, and each execution unit includes one or more components.

Abstract: Some embodiments of the present disclosure provide an intelligent charging pile for a robot, includes: a charging loop, a protecting loop, and a communication control loop; the charging loop is connected with the protecting loop; the protecting loop is connected with the communication control loop; the communication control loop controls the charging loop to be turned off by means of controlling the protecting loop to be turned off, the communication control loop is connected with the charging loop; the communication control loop is further used for acquiring battery information data of the robot and sending, according to the battery information data, an adjustment instruction to the charging loop; and the charging loop is used for adjusting, according to the adjustment instruction, an own charging parameter and charging, according to the adjusted charging parameter, the robot.

Abstract: The disclosure relates to a System, Method, Storage medium and Equipment for Mobile Network Access. The system includes: a first certificate authority node located in a block chain network, configured to authorize a first authentication certificate indicating an identity of the first network authentication service node to the first network authentication service node, authorize a first UE certificate indicating an identity of user equipment to the user equipment of the first operator, and store first UE certificate revocation information and a first CA certificate indicating an identity of the first certificate authority node to a block chain, and a first network authentication service node, configured to obtain the first UE certificate revocation information and the first CA certificate from the block chain, perform mutual identity authentication with the user equipment when receiving a first access authentication message, make the user equipment access a mobile network when completing the authentication.

Abstract: The present disclosure relates to a program verification method and apparatus, a platform, a user terminal, and an online service system, includes: acquiring a root evidence of a server-side program from a blockchain network, and acquiring a verification evidence of the server-side program from a server side, where the root evidence is written into the blockchain network after server-side program review succeeds, and the success of the server-side program review indicates a data processing method of the server-side program satisfies a preset data processing rule; verifying whether the root evidence and the verification evidence are matched, where the root evidence and the verification evidence being matched indicates the server-side program is a program that is operated in a TEE of a computer and is not modified after the root evidence is written into the blockchain network; and determining to connect a user-side program to the server-side program.

Abstract: An action learning method, including: acquiring human body moving image data; determining three-dimensional human body pose action data corresponding to the human body moving image data; matching the three-dimensional human body pose action data with atomic actions in a robot atomic action library to determine robot action sequence data corresponding to the human body moving image data; performing action continuity stitching on all robot sub-actions in the robot action sequence data sequentially; determining a continuous action learned by a robot from the robot action sequence data subjected to the action continuity stitching.

Abstract: The embodiments of the present disclosure relate to the field of communication technology, and disclose a grid map generation method and device, and a computer-readable storage medium. The grid map generation method includes: acquiring original image data of an original image photographed by a photographing device and pose data of the photographing device when photographing the original image; inputting the original image data and the pose data into a preset learning model to obtain first image data, wherein the preset learning model performs a first dynamic object filtering on the original image data according to the pose data to obtain the first image data; fusing the first image data and the pose data into the preset learning model to obtain a fusion learning model; and obtaining a grid map of the original image data according to the fusion learning model and the pose data.

Abstract: A method for detecting a grasping position of a robot in grasping a target object includes: collecting a target RGB image and a target Depth image of the target object at different view angles; inputting each of the target RGB image to a target object segmentation network for calculation to obtain an RGB pixel region of the target object in the target RGB image and a Depth pixel region of the target object; inputting the RGB pixel region to an optimal grasping position generation network to obtain an optimal grasping position for grasping the target object; inputting the Depth pixel region of the target object and the optimal grasping position to a grasping position quality evaluation network to calculate a score of the optimal grasping position; and selecting an optimal grasping position corresponding to a highest score as a global optimal grasping position of the robot.

Abstract: Embodiments of the present application provide a method based on an optical fiber communication network for controlling a robot, a storage medium and an electronic device. The method includes: converting an acquired electrical control signal of the robot to an optical control signal; broadcasting the optical control signal over a downlink of the optical fiber communication network; filtering the optical control signal based on a port identifier to obtain an optical control signal corresponding to the port identifier; converting the optical control signal corresponding to the port identifier to an electrical control signal; and sending the electrical control signal to an actuator of the robot. According to the embodiments of the present application, the number of wirings inside the robot is reduced, the wiring complexity is reduced, and the bandwidth for communication and anti-electromagnetic interference capabilities in the control system are improved.

Abstract: A cloud-based trajectory map generation method, device, apparatus and application. The method includes: acquiring first trajectory map data and second trajectory map data; performing a map-initializing treatment to align the two trajectory map data to obtain an initial value of a transformation relationship therebetween; interpolating the two trajectory map data to obtain corresponding data at preset interpolation points thereto; determining a residual equation based on the corresponding data at the preset interpolation points and the initial value of the transformation relationship to obtain an optimal solution of the transformation relationship based thereon; and generating a trajectory map based on the optimal solution of the transformation relationship.

Abstract: A human augmented robotics intelligence operation system can include a plurality of robots, each robot having a plurality of sensors; a robot control unit; and one or more articulating joints; a cloud-based robotic intelligence engine having; a communication module; a historical database; and a processor; and a human augmentation platform. The processor can be configured to make a probabilistic determination regarding the likelihood of successfully completing the particular user command. When the probabilistic determination is above a pre-determined threshold, the processor sends necessary executable commands to the robot control unit. Alternatively, when the probabilistic determination is below the predetermined threshold, the processor generates an alert and flags the operation for human review.

Abstract: A dynamic learning method for a robot includes a training and learning mode. The training and learning mode includes the following steps: dynamically annotating a belonging and use relationship between an object and a person in a three-dimensional environment to generate an annotation library; acquiring a rule library, and establishing a new rule and a new annotation by means of an interactive demonstration behavior based on the rule library and the annotation library; and updating the new rule to the rule library and updating the new annotation to the annotation library when it is determined that the established new rule is not in conflict with rules in the rule library and the new annotation is not in conflict with annotations in the annotation library.

Abstract: The present disclosure discloses a method, device and node apparatus for blockchain permission control. The method comprises: receiving target information sent by a node apparatus; acquiring an account address of a configured account of the node apparatus; acquiring, according to the account address, from a predetermined block stored with the account address and an account permission corresponding to the account address, the account permission corresponding to the account address; and processing the target information according to the account permission accordingly. In the present disclosure, node apparatuses are configured with corresponding accounts, and performing permission control on the accounts can restrict permissions of different node apparatuses so as to ensure security and privacy of blockchain data.

Abstract: A robot wrist structure includes: a case, a first motor, a second motor, a first transmission mechanism, a second transmission mechanism, a first driving bevel gear, a second driving bevel gear, a driven bevel gear, a retaining fame, and an output connecting member; wherein the first motor and the second motor are mounted on the case, the first driving bevel gear, the second driving bevel gear and the driven bevel gear are respectively rotatably mounted in the retaining frame, the first driving bevel gear and the second driving bevel gear are both in mesh with the driven bevel gear, the first motor is connected to the first driving bevel gear by the first transmission mechanism, the second motor is connected to the second driving bevel gear by the second transmission mechanism, and the output connecting member is fixedly connected to the driven bevel gear.

Abstract: A robot includes a robot torso, a robot arm, a main controller, and a plurality of bundles of cables; wherein a plurality of shoulder effectors are configured to drive the robot arm to move are disposed on the robot torso, a plurality of arm effectors that are relatively movable are disposed in sequence on the robot arm, and the main controller is disposed on the robot torso and configured to control a corresponding effector to operate, such that the robot arm has a plurality of degrees of freedom; any adjacent two of the main controller, the plurality of shoulder effectors, and the plurality of arm effectors are electrically connected by a cable bundle, each of the plurality of bundles of cables is disposed on an outer surface of the shoulder effector or the arm effector which the bundle of cables travels through.

Abstract: The present disclosure provides a method and an apparatus for controlling a robot, a method and an apparatus for providing service and an electronic device. The method comprises: creating, by a local robot, a file system snapshot of an application in a local operating system, and synchronizing file system data of the application to a cloud robot; running, by the cloud robot, on a cloud virtual machine pre-running the same operating system as that of the local robot, the same application as that of the local robot (101); and reversely synchronizing a running result of the application to the local robot (102).