Abstract: A gantry motion platform includes a base, a first transmission mechanism, a second transmission mechanism and a working platform. The first transmission mechanism is mounted on the base and includes two first sliding rails, at least one first sliding block, and a first driving member. The first driving member is mounted on the base and located at a center position between the two first sliding rails. The second transmission mechanism is mounted on the at least one first sliding block and capable of moving along a first direction under driving of the first driving member. The working platform is mounted on the second transmission mechanism and capable of moving along the second direction under driving of a second transmission mechanism, and an angle is defined between the first direction and the second direction.

Abstract: The embodiment of the present disclosure provides a system for co-producing a xylitol and a caramel pigment by utilizing a xylose mother liquid, including an extraction assembly, a refined hydrogenation assembly and a browning reaction assembly. The extraction assembly is configured to obtain an extracted liquid and a raffinate liquid respectively by performing an initial extraction on the xylose mother liquid; the refined hydrogenation assembly is configured to prepare a crystal xylitol by performing a refined hydrogenation process on the extracted liquid; the browning reaction assembly is configured to prepare the caramel pigment by performing a browning reaction process on the raffinate liquid.

Abstract: A tensioning method for a tensegrity keel is provided. The method includes the step of determining target values at an attainment of tensegrity. An outline of the integral keel is formed. A middle stiffening ring is tensioned through stretching a hub shaft, thereby attaining a self-equilibrium state. Telescopic rods are provided between stiffening rings and central trusses so that the stiffening rings and the central trusses are connected together. Longitudinal ties are mounted and constraints on bisection points and the central trusses are released and the integral keel is tensioned by stretching the telescopic rods, thereby introducing tension to the longitudinal ties. The lateral stiffening rings are tensioned by stretching the hub shaft, thereby attaining a self-equilibrium state. Adjustments are made using iterative methods so that target values at the attainment of tensegrity will be reached.

Abstract: A meta-searching method, including determining a target metaverse for a current search using intent classification based on an inquiry text included in a searching request of a user; extracting a searching clue and a clue type; selecting a current search engine for performing the current search using the target metaverse and the clue type by prioritizing a search engine associated with the target metaverse; performing identity authentication using the user account information of the user in the target metaverse prior to the search based on determining that user account information is required to search for the searching clue for performing a search using the current search engine, and performing the search using the current search engine based on the searching clue; and providing the search results to the user.

Abstract: A catalyst for continuous production of 1,1,1,3-tetrachloropropane through gas-solid reaction as well as a preparation method and use thereof are provided. The catalyst includes a zero-valent iron and phosphorus co-modified carbon material which includes a carbon material as a carrier, a zero-valent iron supported onto the carrier and serving as an active component, and a phosphate functional group formed on the surface of the carbon material. The preparation method includes: co-modifying a carbon material using a ferric salt and organic phosphorus to obtain the catalyst for continuous production of 1,1,1,3-tetrachloropropane through gas-solid reaction. The present application further provides a method for continuous production of 1,1,1,3-tetrachloropropane through gas-solid reaction.

Abstract: A digital twin modeling method to assemble a robotic teleoperation environment, including: capturing images of the teleoperation environment; identifying a part being assembled; querying the assembly assembling order to obtain a list of assembled parts according to the part being assembled; generating a three-dimensional model of the current assembly from the list and calculating position pose information of the current assembly in an image acquisition device coordinate system; loading a three-dimensional model of the robot, determining a coordinate transformation relationship between a robot coordinate system and an image acquisition device coordinate system; determining position pose information of the robot in an image acquisition device coordinate system from the coordinate transformation relationship; determining a relative positional relationship between the current assembly and the robot from position pose information of the current assembly and the robot in an image acquisition device coordinate syste

Abstract: The present invention relates to a robot teaching system based on image segmentation and surface electromyography and robot teaching method thereof, comprising a RGB-D camera, a surface electromyography sensor, a robot and a computer, wherein the RGB-D camera collects video information of robot teaching scenes and sends to the computer; the surface electromyography sensor acquires surface electromyography signals and inertial acceleration signals of the robot teacher, and sends to the computer; the computer recognizes a articulated arm and a human joint, detects a contact position between the articulated arm and the human joint, and further calculates strength and direction of forces rendered from a human contact position after the human joint contacts the articulated arm, and sends a signal controlling the contacted articulated arm to move along with such a strength and direction of forces and robot teaching is done.

Abstract: A system for robot teaching based on RGB-D images and a teach pendant, including an RGB-D camera, a host computer, a posture teach pendant, and an AR teaching system which includes an AR registration card, an AR module, a virtual robot model, a path planning unit and a posture teaching unit. The RGB-D camera collects RGB images and depth images of a physical working environment in real time. In the path planning unit, path points of a robot end effector are selected, and a 3D coordinates of the path points in the basic coordinate system of the virtual robot model are calculated; the posture teaching unit records the received posture data as the postures of a path point where the virtual robot model is located, so that the virtual robot model is driven to move according to the postures and positions of the path points, thereby completing the robot teaching.

Abstract: The present invention relates to a robot teaching system based on image segmentation and surface electromyography and robot teaching method thereof, comprising a RGB-D camera, a surface electromyography sensor, a robot and a computer, wherein the RGB-D camera collects video information of robot teaching scenes and sends to the computer; the surface electromyography sensor acquires surface electromyography signals and inertial acceleration signals of the robot teacher, and sends to the computer; the computer recognizes a articulated arm and a human joint, detects a contact position between the articulated arm and the human joint, and further calculates strength and direction of forces rendered from a human contact position after the human joint contacts the articulated arm, and sends a signal controlling the contacted articulated arm to move along with such a strength and direction of forces and robot teaching is done.

Abstract: The present invention relates to an assembly monitoring method based on deep learning, comprising steps of: creating a training set for a physical assembly body, the training set comprising a depth image set Di and a label image set Li of a 3D assembly body at multiple monitoring angles, wherein i represents an assembly step, the depth image set Di in the ith step corresponds to the label image set Li in the ith step, and in label images in the label image set Li, different parts of the 3D assembly body are rendered by different colors; training a deep learning network model by the training set; and obtaining, by the depth camera, a physical assembly body depth image C in a physical assembly scene, inputting the physical assembly body depth image C into the deep learning network model, and outputting a pixel segmentation image of the physical assembly body, in which different parts are represented by pixel colors to identify all the parts of the physical assembly body.

Abstract: A system for robot teaching based on RGB-D images and a teach pendant, including an RGB-D camera, a host computer, a posture teach pendant, and an AR teaching system which includes an AR registration card, an AR module, a virtual robot model, a path planning unit and a posture teaching unit. The RGB-D camera collects RGB images and depth images of a physical working environment in real time. In the path planning unit, path points of a robot end effector are selected, and a 3D coordinates of the path points in the basic coordinate system of the virtual robot model are calculated; the posture teaching unit records the received posture data as the postures of a path point where the virtual robot model is located, so that the virtual robot model is driven to move according to the postures and positions of the path points, thereby completing the robot teaching.

Abstract: The present invention relates to an assembly monitoring method based on deep learning, comprising steps of: creating a training set for a physical assembly body, the training set comprising a depth image set Di and a label image set Li of a 3D assembly body at multiple monitoring angles, wherein i represents an assembly step, the depth image set Di in the ith step corresponds to the label image set Li in the ith step, and in label images in the label image set Li, different parts of the 3D assembly body are rendered by different colors; training a deep learning network model by the training set; and obtaining, by the depth camera, a physical assembly body depth image C in a physical assembly scene, inputting the physical assembly body depth image C into the deep learning network model, and outputting a pixel segmentation image of the physical assembly body, in which different parts are represented by pixel colors to identify all the parts of the physical assembly body.

Abstract: A method and an apparatus for automatic recognition of tone languages, employing the steps of converting the words of speech into an electrical signal, generating spectral features from the electrical signal, extracting pitch values from the electrical signal, combining said spectral features and the pitch values into acoustic feature vectors, comparing the acoustic feature vectors with prototypes of phonemes in an acoustic prototype database including prototypes of toned vowels to produce labels, and matching the labels to text using a decoder comprising a phonetic vocabulary and a language model database.