A robot joint configuration determining method, a robot using the same, and a computer readable storage medium are provided. The method includes: simulating a joint model of a first joint of the robot using first motion deviation data to obtain first result data; simulating the joint model using second motion deviation data to obtain second result data; taking the motion deviation data corresponding to one of the first result data and the second result data meeting one or more preset conditions as a target motion deviation data for the first joint; and determining type information of a reducer in a configuration information of the first joint based on the target motion deviation data. In the present disclosure, the motion deviation of the first joint that is relatively accurate can be obtained through the results of the two simulations.

A robot joint configuration determining method, a robot using the same, and a computer readable storage medium are provided. The method includes: simulating a joint model of a first joint of the robot using first motion deviation data to obtain first result data; simulating the joint model using second motion deviation data to obtain second result data; taking the motion deviation data corresponding to one of the first result data and the second result data meeting one or more preset conditions as a target motion deviation data for the first joint; and determining type information of a reducer in a configuration information of the first joint based on the target motion deviation data. In the present disclosure, the motion deviation of the first joint that is relatively accurate can be obtained through the results of the two simulations.

It is already known that quantum computers can be used to simulate materials and molecules. However, quantum computers are error-prone and exhibit intrinsic noise, which has so far made the real technical application of quantum computers impossible. Approaches are already known from the prior art which, despite the error susceptibility, allow meaningful simulations of quantum mechanical systems to be created, but the errors still exist. Building on this, the invention now makes it possible to reduce the errors and to include the errors as part of the simulation. In addition, the invention makes it possible to inhibit the effect of intrinsic noise. This further improves the technical applicability of quantum computers for simulating materials and molecules.

It is already known that quantum computers can be used to simulate materials and molecules. However, quantum computers are error-prone and exhibit intrinsic noise, which has so far made the real technical application of quantum computers impossible. Approaches are already known from the prior art which, despite the error susceptibility, allow meaningful simulations of quantum mechanical systems to be created, but the errors still exist. Building on this, the invention now makes it possible to reduce the errors and to include the errors as part of the simulation. In addition, the invention makes it possible to inhibit the effect of intrinsic noise. This further improves the technical applicability of quantum computers for simulating materials and molecules.

A 3D printing method providing an improved manufacturing process by providing a plurality of layers forming at least a part of the component, wherein the plurality of layers contains at least one first layer part and at least one second layer part, wherein the at least one first layer part and the at least one second layer part have been manufactured with different manufacturing speeds.

A method of printing a 3D object comprising a plurality of discrete elements, the method comprising: receiving a 3D digital model of a shell group comprising one or more shells representing the plurality of discrete elements; defining, in the 3D digital model, a unifying shell to at least partly envelop one or more shells of the shell group to provide a unified digital model comprising the shell group and the unifying shell; assigning the unifying shell with at least one transparent building material that is transparent upon dispensing and solidifying thereof; assigning the one or more shells of the shell group with one or more building materials; and dispensing, in layers, the at least one transparent building material and the one or more building materials according to the unified digital model to form a 3D object comprising one or more discrete elements that are at least partly connected by a unifying element.

A simulation device configured to perform a simulation based on a digital twin service includes a creation unit configured to create a simulation model based on model design data; an identification unit configured to identify at least one intrinsic parameter of the created simulation model and at least one input value related to the intrinsic parameter; an output unit configured to output an estimated output value which is produced from the simulation model depending on the input value based on the intrinsic parameter; a correlation analysis unit configured to analyze a correlation between the intrinsic parameter and the estimated output value; a selection unit configured to select at least one representative intrinsic parameter from among the at least one intrinsic parameter depending on the analyzed correlation; a collection unit configured to collect real sensor data related to the representative intrinsic parameter from a real model constructed based on the model design data; an update unit configured to update the at least one representative intrinsic parameter based on the collected real sensor data and the estimated output value; and a simulation unit configured to perform a simulation by applying the updated representative intrinsic parameter to the simulation model.

A simulation device configured to perform a simulation based on a digital twin service includes a creation unit configured to create a simulation model based on model design data; an identification unit configured to identify at least one intrinsic parameter of the created simulation model and at least one input value related to the intrinsic parameter; an output unit configured to output an estimated output value which is produced from the simulation model depending on the input value based on the intrinsic parameter; a correlation analysis unit configured to analyze a correlation between the intrinsic parameter and the estimated output value; a selection unit configured to select at least one representative intrinsic parameter from among the at least one intrinsic parameter depending on the analyzed correlation; a collection unit configured to collect real sensor data related to the representative intrinsic parameter from a real model constructed based on the model design data; an update unit configured to update the at least one representative intrinsic parameter based on the collected real sensor data and the estimated output value; and a simulation unit configured to perform a simulation by applying the updated representative intrinsic parameter to the simulation model.

An apparatus for generating a layout for an additive manufacturing of an electric drive for a disc rotor. The disc rotor is adapted for being driven by a magnetic field. The apparatus comprises an input module configured to receive one or more input parameters. The apparatus further comprises a generating module configured to generate, from the one or more input parameters, a layout of a plurality of coil structures, wherein the plurality of coil structures is adapted to generate the magnetic field by an electric current, and a layout of a control structure, wherein the control structure is adapted to connect the plurality of coil structures with a connector for a supply of the electric current, and to distribute the electric current to the plurality of coil structures in order to drive the disc rotor.

Disclosed is a wind turbine layout optimization method combining with a dispatching strategy for the wind farm. In the wind farm micro-siting stage, the installed wind turbines number and the arrangement positions are optimized. In this method, the dispatching strategy of wind turbines is considered during the layout optimization of wind turbines, and the axial induction factor of each wind turbine is introduced into the layout optimization variables. The dispatching strategy of maximizing the wind farm power generation is combined with the layout optimization of wind turbines in the construction stage of the wind farm, so that the wake effect is effectively reduced and the capacity cost is reduced, which meet the requirement of actual wind farm. A hybrid optimization algorithm is proposed in this method, with a greedy algorithm to optimize the turbine number and a particle swarm optimization (PSO) algorithm to refine the turbine layout scheme.