Abstract: The present disclosure provides a motion image generation method and apparatus, and a computer device and a storage medium. The method includes: obtaining a pre-drawn target face model; selecting, from a basic face library, at least one basic face model that is matched with the target face model, and determining an initial face model based on skeleton parameters and a skin matrix which respectively correspond to the at least one basic face model; and iteratively adjusting the skeleton parameters of the initial face model based on the initial face model and the target face model to obtain reference skeleton parameters when an error between the initial face model and the target face model is smallest, wherein the reference skeleton parameters are used for producing and generating each frame of images when the target face model moves.

Abstract: Provided are a green sealing material for karst flowing water, and a preparation method and use thereof. The green sealing material includes a component A and a component B, with a volume ratio of the component A to the component B being in a range of 4:1 to 5:1; where the component A includes in parts by weight: 40 parts to 50 parts of a sulphoaluminate cement, 10 parts to 15 parts of a light-burned magnesium oxide, 1 part to 4 parts of boric acid, and 40 parts to 50 parts of water; and the component B includes in parts by weight: 0.2 parts to 0.4 parts of hydroxypropyl methylcellulose, 0.1 parts to 0.5 parts of polyacrylamide, 15 parts to 30 parts of potassium dihydrogen phosphate, 0.2 parts to 0.4 parts of triethanolamine, 0.5 parts to 1 part of lithium carbonate, and 80 parts to 100 parts of water.

Abstract: A modified adeno-associated virus (AAV) capsid protein and use thereof are disclosed. The capsid protein contains a substitution(s) of approximately 5-14 amino acids with respect to a parent AAV capsid protein. The AAV containing the modified capsid protein has increased infectiousness with respect to a target tissue or target cell (e.g. retinal cell) in comparison with an AAV containing an unmodified parent AAV capsid protein.

Abstract: This application provides a digital person training method and system, and a digital person driving system. According to the method, human-body pose estimation data in training data is extracted, and the human-body pose estimation data is input into an optimized pose estimation network to obtain human-body pose optimization data. Generation losses of position optimization data and acceleration optimization data in the human-body pose optimization data are calculated based on a loss function of the optimized pose estimation network, so as to minimize errors between position estimation data and acceleration estimation data and a real value. In this way, the optimized pose estimation network is driven to update a network parameter to obtain an optimal driving model that is based on the optimized pose estimation network. The errors between the position estimation data and the acceleration estimation data and the real value are minimized.

Abstract: A base includes a bottom plate assembly including a subbase. A front edge of the subbase includes a flanging folded upward and including an avoidance section, and a climbing plate is arranged above the avoidance section. The base further includes a structural support assembly arranged above the bottom plate and forming an accommodation space above the subbase. An access opening is provided on a front side of the accommodation space.

Abstract: The present disclosure relates to a method for calibrating an articulated robot, a computer device and a non-temporary computer-readable storage medium. The method includes: acquiring desired trajectory information regarding a desired trajectory of the end-effector; acquiring load information regarding a load subjected by the articulated robot, the load including a gravity load, an inertial load and an external load; obtaining, based on the desired trajectory information, joint position data indicating a joint position of the articulated robot; obtaining, based on the joint position data and the load information, end position change data indicating an end position change of the end-effector; and compensating, based on the end position change data, a position error of the end-effector according to a predetermined compensation strategy.

Abstract: A gripping device for a robot includes a base and at least two gripper assemblies. Each gripper assembly includes a gripping finger and a first link assembly. In a first gripping mode, the gripping fingers are in a first state, and the first link assemblies are configured to drive the gripping fingers to move inward and contact a target object. In a second gripping mode, the gripping fingers are in the first state, and the first link assemblies are configured to drive the gripping fingers to move outward and contact the target object. In a third gripping mode, the first link assemblies are configured to drive the gripping fingers switch to the second state from the first state, and drive the gripping fingers to move inward and contact the target object in cooperation with the first link assemblies.

Abstract: A parallel robot includes a base, a moving platform, a plurality of branch chains, a plurality of driving devices, a plurality of transmission devices, a plurality of force/torque sensors, and a control device. The transmission device includes an output end. Each branch chain includes a first end connected to the output end and a second end connected to the moving platform. The driving device is configured to drive the transmission device to move. The force/torque sensor is configured to sense the force and/or torque between the driving device and the output end. The control device is configured to adjust a power of the driving device according to the force and/or torque sensed by the force/torque sensor, a target force or displacement to be loaded on the moving platform, and a preset rule until the force and/or torque sensed by the force/torque sensor matches the target force or displacement.

Abstract: The present disclosure relates to a gripping device includes a casing and at least two gripping assemblies. Each of the gripping assembly includes a fingertip, a connecting rod assembly and an attaching assembly. A first end of the connecting rod assembly is connected to the fingertip, and a second end of the connecting rod assembly is rotatably connected to the casing. The attaching assembly is disposed on a side of the connecting rod assembly facing the target object to be gripped. The gripping device is configured to be switched between a first gripping mode and a second gripping mode. In the first gripping mode, the gripping device clamps the target object by the fingertips cooperating with each other. In the second gripping mode, the gripping device adheres and/or adsorbs the target object by the attaching assemblies cooperating with each other to implement a gripping operation.

Abstract: The present disclosure relates to an adhesion device and a robot having the adhesion device. The adhesion device includes a substrate, an inner surface of the substrate being configured to be in contact with an object to be adhered; a directional dry adhesive layer provided on the inner surface of the substrate, the directional dry adhesive layer having a plurality of inclined micro-wedge structures; and an adhesion layer provided on the inner surface of the substrate and surrounding the directional dry adhesive layer.

Abstract: Disclosed are a method and device for realizing advanced nitrogen removal of mature landfill leachate and sludge reduction by using sludge fermentation products as carbon source, belonging to the field of biological treatment of sludge of high ammonia nitrogen wastewater.

Abstract: This application provides a digital person training method and system, and a digital person driving system. According to the method, human-body pose estimation data in training data is extracted, and the human-body pose estimation data is input into an optimized pose estimation network to obtain human-body pose optimization data. Generation losses of position optimization data and acceleration optimization data in the human-body pose optimization data are calculated based on a loss function of the optimized pose estimation network, so as to minimize errors between position estimation data and acceleration estimation data and a real value. In this way, the optimized pose estimation network is driven to update a network parameter to obtain an optimal driving model that is based on the optimized pose estimation network. The errors between the position estimation data and the acceleration estimation data and the real value are minimized.

Abstract: A robotic arm includes multiple joints and multiple links. The links are connected successively by the joints. At least two of the joints may each comprise a sensor configured to measure force and torque information in multiple DOF of its respective joint. In certain implementations, the sensor may be located between an input part of the respective one of the at least two joints and an output part of the respective one of the at least two joints.

Abstract: The present disclosure relates to a kinematics calibration method for a robot with multiple degrees of freedom. The robot includes a base, an end effector, and a plurality of links connected by joints. The method includes locking part of the multiple degrees of freedom by limiting the base and the end effector impose a limitation of degree of freedom; moving the robot to perform a first movement and accordingly obtaining a first set of data associated with joint angles and a first actual motion of the end effector; calculating a first theoretical motion of the end effector based on the first set of data and initial kinematics parameters; and updating the initial kinematics parameters of the robot to obtain a first set of updated kinematics parameters based on the first theoretical motion and the first actual motion.

Abstract: A blood volume sensor system including a container defining a blood volume reservoir, a volume sensor configured to monitor the blood volume reservoir and output data corresponding to a volume of blood contained in the blood volume reservoir, and a digital computing device in communication with the volume sensor and configured to receive the output data regarding the volume of blood contained in the blood volume reservoir. The volume sensor being a gravimetric sensor, an optical sensor, a contact imaging sensor, a camera sensor, or a time of flight sensor. The system additionally including an oxygenator attached to the blood volume reservoir. The system being configured to be incorporated into a surgical pack of a heart lung machine to monitor the blood volume reservoir in real time to reflect a circulating blood volume of a patient.

Abstract: A suction device includes a suction body including an inner surface that is in contact with an object to be sucked, and has an air hole in the middle thereof; a holder connected to the suction body, and having an air channel that being in communication with the air hole, the air channel being connected to a vacuum device; and a directional dry adhesive layer is provided on the inner surface of the suction body, and the directional dry adhesive layer having a plurality of micro-wedge structures inclined in a direction away from the air hole.

Abstract: The disclosure provides a quasi-dynamic in situ ellipsometry method and system for measuring a photoresist exposure process.

Abstract: A transmission device with multiple degrees of freedom includes a first platform, a second platform, a fixing platform, first branch chains, second branch chains and transmission assemblies. The first branch chains, the first platform (10) and the fixing platform form a first multiple degrees of freedom parallel mechanism having an output end. The second branch chains, the second platform and the fixing platform form a second multiple degrees of freedom parallel mechanism having an input end. A structure of the second branch chain is similar to a structure of the first branch chain, and a size of the second branch chain is enlarged or reduced in proportion to that of the first branch chain. The transmission assemblies are configured to couple the output end to the input end.

Abstract: Disclosed is a monolithic LCD projector, including: a light source, a polarizer provided on a light emitting side of the light source and configured for converting light emitted from the light source into linearly polarized light, an LCD panel provided on a light emitting side of the polarizer and configured for modulating the linearly polarized light according to an image signal to generate modulated light, an analyzer provided on a light emitting side of the LCD panel and separated from the LCD panel and obliqued, the analyzer includes a reflective polarizer and a functional structure, and a lens provided in a reflected light path of the analyzer and configured for projecting the second polarization state light reflected by the reflective polarizer.

Abstract: An axial force sensor assembly for detecting an axial force is provided, which includes a mounting bracket and a first sensor assembled on the mounting bracket. The mounting bracket includes an inner mounting portion, an outer mounting portion and a multi-layer connecting member connected between the inner mounting portion and the outer mounting portion. The multi-layer connecting structure is more compliant in a direction of the axial force to be detected than in other loading directions. The first sensor is configured to detect a relative displacement between the inner mounting portion and the outer mounting portion in the direction of the axial force to be detected.