79 results about "Physics engine" patented technology

The invention belongs to the field of software testing and defect detection, focuses on reliability verification of a physical simulation engine, is suitable for scenes depending on physical simulation, such as robot simulation, automatic driving testing, unmanned aerial vehicle control, education and scientific research, and particularly relates to a variation-based physical simulation engine defect detection method. Potential defects of core modules of collision detection, mechanical calculation, dynamics and the like are efficiently found through a variation test method. According to the method, a feature library is constructed through static library API analysis and AST / IR code analysis, test code expansion is performed by utilizing a large model, a test driver adaptive to a specific data type is generated, a physical semantic constraint mutation seed is combined, a test is executed through libFuzzer, defect and coverage rate data are analyzed, a use case selection strategy is optimized, and the test efficiency is improved. Defects of core modules such as collision detection and dynamic solution are efficiently detected, and the test pertinence and efficiency are improved.

The invention discloses a mechanical arm simulation system supporting industrial quality inspection, which relates to the technical field of industrial automation and comprises a multi-physics field simulation engine module, a digital twin interface module, a defect sample library module and a cooperative control module. According to the method, traditional entity mechanical arm debugging is replaced by rigid body dynamics simulation based on a physical engine, loss and production line shutdown caused by repeated trial and error of equipment are avoided, rapid construction of the digital twin environment of the production line is achieved by means of an efficient CAD model conversion process and a lightweight loading technology, and high-fidelity optical simulation is achieved through a parameterized defect model library and high-fidelity optical simulation. Various common industrial defects and complex optical effects are covered, the modeling bottleneck of a quality inspection scene is broken through, real-time closed-loop interaction of visual inspection and motion control is realized by using thread separation and an efficient communication technology, and the recognition robustness of a visual algorithm to tiny defects is guaranteed; the reliability of algorithm verification is improved through the quantitative output of algorithm performance indexes and the comprehensive test of extreme working conditions by the simulation system.

The invention discloses a coal mine robot cluster-oriented virtual entity synchronous mapping method. The method comprises the following steps of: constructing a virtual entity synchronous mapping system consisting of a coal mine robot cluster physical entity, a coal mine robot cluster virtual entity, coal mine robot cluster twin data, cluster service application and information interaction; a coal mine robot cluster is used as a physical entity object, an OPC UA communication protocol is used for data collection, the collected data is processed, a virtual entity is driven in a script mode based on a Unity 3D physical engine, and therefore a virtual-real mapping channel is established; converting various non-standardized data structures of the robot cluster into standardized data structures; data of the heterogeneous robot are collected and transmitted through standardization of various communication protocols, and the data are used for driving the virtual entity model. The method has the advantage of performing synchronous mapping on the virtual entities so as to facilitate intelligent management and control.

The invention discloses a real-time software deformation interaction method based on a physical engine in an environment. The real-time software deformation interaction method comprises the following steps: S1, establishing a virtual environment and a software model; s2, constructing an interactive perception and collision detection network; s3, receiving and analyzing a multi-modal interaction instruction; s4, real-time deformation calculation based on a physical engine; s5, performing multi-user collaborative state synchronization and rendering feedback; and S6, carrying out fault state simulation on the software object. According to the method, real-time and high-precision simulation of software deformation is realized through deep fusion of software dynamics calculation of a physical engine and an interaction instruction stream, and through hierarchical physical attribute binding and client prediction, the network synchronization data volume is greatly reduced while the millimeter-level deformation precision is ensured, so that the network synchronization efficiency is improved. And low-delay and high-consistency experience under multi-person cooperative operation is ensured.

A system and method for adaptive ideation and innovation management using graph-based similarity computation and real-time social facilitation are disclosed, and the system may include a plurality of client devices operated by a human user and one or more AI Agents. The system may further include a computing platform running a Precompute Similarity Engine that may be configured to embed and index idea objects, precompute similarity clusters, and generate candidate merge or purge operations together with diversity and novelty signals; and running a Social Physics Engine that may be configured to monitor human user and machine participant (AI agent) interactions, compute group metrics, and issue digital facilitation interventions. The Precompute Similarity Engine and the Social Physics Engine may operate in an interdependent feedback loop such that diversity and novelty signals guide the generation of digital facilitation interventions that are communicated via the network to the plurality of client devices and the one or more AI Agents.

The invention discloses an unmanned tower crane dynamic simulation method and system based on a virtual simulation technology, and relates to the technical field of intelligent construction. Comprising the following steps: constructing an unmanned tower crane BIM model and collecting point cloud data, and establishing a simulation model based on the unmanned tower crane BIM model and the point cloud data; developing a customized physical engine based on the simulation model, and constructing a multi-body dynamic model; constructing a three-dimensional wind field model, adjusting parameters, performing climate coupling simulation with the multi-body dynamic model, and obtaining structure response data under different wind fields; constructing an unmanned tower crane path planning model, and generating and executing an unmanned tower crane motion path in combination with the wind field parameters and the structure response data; running state data are obtained and visualized, and multi-dimensional risk monitoring is carried out on the path execution process according to the running state data. According to the method, the problems of scene distortion, rough simulation and risk missed judgment in the existing unmanned tower crane virtual rehearsal are solved, and the authenticity and effectiveness of the virtual rehearsal are improved.

This invention discloses an immersive VR / AR-based method for training and remote collaborative operation and maintenance of a heating furnace. This invention achieves two-way AR / VR collaborative operation and maintenance functionality, enabling remote experts to provide real-time guidance to on-site personnel through 3D annotations, filling the technological gap between training and operation and maintenance. Simultaneously, this invention utilizes customized high-fidelity rendering tailored to the unique physical phenomena of the heating furnace, surpassing existing general-purpose physics engines. The AR application scenario of this invention involves collaboration between experts and on-site personnel, rather than individual learning by trainees. It employs SLAM + 3D point cloud to achieve precise alignment between virtual and real spaces, and uses a two-way communication protocol to achieve real-time mapping of interactive commands, solving the technical challenge of existing AR systems' inability to support remote expert collaboration.

The application relates to the field of virtual reality, and particularly discloses a display method and device for an environment object, which comprises the following steps: in response to a creation operation of an environment object contained in a virtual world application, acquiring an object generation time of the environment object; determining an associated object having an association relationship with the environment object, and acquiring an associated interaction time at which the associated object and the environment object interact; determining a time parameter of the environment object according to the object generation time and the associated interaction time; and displaying the environment object according to the time parameter. The method can accurately restore the real state of a real world, and compared with a traditional method of performing complex calculation through a physical engine, the method can reduce system resource consumption and improve display speed.

This invention discloses a method and system for generating self-evolving world models based on the synergy of rule-based and neural network dual engines, belonging to the field of artificial intelligence technology. The invention's overall concept is based on the collaborative autonomous evolution of dual-engine intelligent agents. Rule-based intelligent agents ensure decision-making stability, while neural network intelligent agents enable adaptive evolution in complex environments. The global state of the model is synchronously input into both engines. After the intelligent agent orchestrator fuses the decisions, the autonomous evolution engine automatically adjusts the model parameters and training strategies, achieving closed-loop autonomous evolution without human intervention. The system synchronously integrates a multimodal unified encoder, a differentiable physics engine, and a 3D Gaussian decoder. Each module is tightly coupled under a unified data flow, fully complying with the patent single-use requirement. This invention achieves integrated protection of the core architecture and auxiliary functions through a single patent, providing broad protection scope and strong decomposability. It is applicable to the fields of artificial intelligence world models, digital twins, AGI autonomous evolution, and 3D virtual scene generation.

The invention relates to the technical field of VR teaching, solves the technical problems of periodic grid distortion and visual jittering caused by illegal operation of students in a VR training system, and particularly relates to a VR display anti-jittering method applied to learning education. Collecting physical state parameters of the virtual device, constructing the physical state parameters into a basic data set, and converting the basic data set into a transition state set; and constructing a state space containing a plurality of physical state templates, and calculating a matching score of the transition state set and each physical state template. According to the method, the illegal operation is dynamically monitored, and a smooth interpolation transition technology is adopted, so that periodic picture jitter caused by physical engine conflict backtracking due to the illegal operation of a student is effectively avoided. Through a state buffer mechanism, natural transition of physical states (such as wear degree, glossiness, position and load) of equipment during rollback is ensured, and material flickering and visual mutation are avoided, so that immersion and operation accuracy of students are improved.

The invention discloses a humanoid robot motion control method based on reinforcement learning and Sim2Real migration, and particularly relates to the field of pedestrian robot motion control, and the method comprises the following steps: S01, constructing a robot model based on a physical engine, including terrain friction, inertia, noise and collision characteristics, and setting a joint angle and a speed upper limit; s02, learning a motion strategy in a simulation environment by adopting a PPO algorithm; s03, designing a reward function of a stable and efficient gait for guiding strategy learning; s04, parameter disturbance is introduced in training so as to reduce the real gap; and S05, deploying the simulation strategy to the real robot, and integrating a security mechanism. The humanoid robot motion control method aims at solving the problems that in the prior art, strong modeling is relied on, disturbance is sensitive, and deployment cost is high, the lightweight and self-adaptive humanoid robot motion control method is provided, rapid adaptation to uncertain environments (such as irregular terrains and external thrust) is achieved, and the falling risk in actual deployment is reduced.

The invention discloses an unmanned flight platform flexible obstacle active crossing method and a related device, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: building a flexible obstacle interactive simulation environment based on a physical engine; in a flexible obstacle interactive simulation environment, taking a visual data flow and a state data flow of the unmanned flight platform as input, taking a motor accelerator instruction as output, and training a cascade deep neural network model based on a near-end strategy optimization algorithm; driving a sensor interface through an ROS system to obtain real-time vision and state data, inputting the real-time vision and state data to the trained cascade deep neural network model, and generating a motor control instruction; and determining an active crossing strategy of the unmanned flight platform according to the motor control instruction. The problems of extra load and pneumatic interference caused by a traditional protection device can be avoided.

This invention discloses a system and method for psychotherapy that integrates virtual reality scenes, belonging to the interdisciplinary field of psychotherapy and virtual reality. It addresses the problems of fixed scenes, delayed adjustment, weak interactivity, and lack of cultural adaptability in traditional psychotherapy. The method includes using non-contact biosensors to capture facial blood oxygen fluctuations, combining this with a hemodynamic model to remove artifacts, and then quantifying these fluctuations into emotional energy values ​​based on an individual emotional sample set and an incremental learning algorithm to generate scene seeds containing parameters such as color temperature. A virtual physics engine is then driven to reconstruct elements such as light and shadow, and fluids, forming a physically-level dynamic scene. Inertial sensors capture user movements and convert them into virtual pressure gradients, constructing a coupled feedback loop between movement and scene. Psychological trends are predicted through hierarchical Fourier analysis of the seed sequence. This invention achieves real-time adaptation and proactive intervention between psychological states and virtual scenes, enhancing user immersion and cultural and emotional resonance, and improving the accuracy and effectiveness of psychotherapy.

The invention discloses a ship lockage simulation method of self-adaptive time step length in a digital twinning scene, and belongs to the technical field of digital twinning and simulation. The method comprises the following steps: collecting and preprocessing ship motion state, ship lock structure and navigation rule data; a system architecture comprising a simulation layer, a control layer and a rule layer is constructed, the simulation layer adopts a multi-level physical engine cooperative computing mechanism, high-precision three-dimensional geometric modeling and real-time dynamic simulation are combined, and a self-adaptive time step control algorithm is introduced to dynamically adjust a simulation step in a key area so as to improve the precision; the control layer supports multi-ship-type dynamic parameter configuration through a modular ship behavior control model library; the rule layer drives navigation logic control through a rule engine, and flexibly executes rules such as single-line and double-line lockage and priority scheduling. According to the method, the problem of mold penetration caused by inaccurate collision detection in the prior art is effectively solved, and the universality, the flexibility and the intelligent level of multi-ship-type and multi-rule scenes are improved.

The invention discloses a mixed domain adaptive bridge underwater disease detection method and system, and relates to the technical field of structure underwater detection. The method comprises the following steps: constructing a high-fidelity virtual simulation environment for underwater bridge detection based on a physical engine, and simulating underwater complex optical effects and disease geometric features by using a physical rendering technology; setting a camera guide rail to move along a preset path in a simulation environment, and automatically generating a synthetic data set with pixel-level labels; constructing a mixed domain training set containing real data and synthetic data; constructing a hybrid domain adaptive detection network; and training a mixed domain adaptive detection network by using the mixed data set and carrying out disease detection in a real scene. According to the method, the problem of scarcity of underwater detection data is solved by effectively utilizing a physical engine, and the detection precision and robustness are remarkably improved through mixed domain self-adaption.

The invention discloses a multi-rotor unmanned aerial vehicle fault-tolerant flight control method based on end-to-end direct thrust control, and the method comprises the steps: constructing a four-rotor unmanned aerial vehicle pure analysis micro simulation environment facing implicit feature observation and gradient back propagation, and embedding a continuous micro fault injection and execution mechanism mapping mechanism; a fourth-order Runge-Kutta method is adopted to carry out discretization iteration on the continuous operator; constructing an end-to-end control network based on spatial-temporal feature structured decoupling and hidden variable direct drive, and extracting and outputting a four-motor action instruction through double-current features; training an end-to-end control network in a micro-simulation environment, and optimizing control network parameters based on a micro-physical engine and time-based back propagation; and a self-adaptive composite loss function and a multi-order course learning mechanism are combined, so that the control network converges to an effective fault-tolerant control strategy. According to the method, self-adaptive control without an independent fault detection and diagnosis module under the single-motor fault can be realized, and a smooth transition mechanism from normal to single-motor failure is established.

The application discloses a kind of layout and running management method, system and electronic equipment of entity in two-dimensional scene, the system includes layout engine module, physics engine module and dynamic scheduling manager module, the method includes: layout engine module is in the scene design period of two-dimensional scene, based on the layout engine performance parameter corresponding to layout engine module, layout processing is carried out to entity in two-dimensional scene, to obtain the initial scene interface of two-dimensional scene, layout engine performance parameter is dynamically adjusted according to layout engine performance configuration instruction information by dynamic scheduling manager module;Physics engine module is in the scene running period of two-dimensional scene, based on the physical engine performance parameter corresponding to physics engine module, running management processing is carried out to entity in two-dimensional scene, to update the scene interface of two-dimensional scene, physical engine performance parameter is dynamically adjusted according to physical engine performance configuration instruction information by dynamic scheduling manager module.Such that, entity layout, running is more reasonable.

This application discloses a real-time control method and related apparatus for cavity robots based on dynamic safety boundaries. The method includes: establishing a dynamic safety rule base; activating corresponding constraints in real time based on tissue characteristics obtained from sensor fusion; converting the fused state information into symbolic trajectories in discrete time steps, and using a time automaton to detect online whether the current safety constraints are met; if not, sampling to generate a control sequence under a model predictive control framework, predicting the trajectory using a physics engine, and then verifying it point-by-point using safety rules, retaining the successful trajectories and selecting the one with the highest score as the new motion path; parsing the path into a velocity command, driving the robot to execute it after impedance control loop and Lie group projection. This invention significantly reduces the risk of intraoperative collisions and improves the safety and real-time performance of cavity robot surgery through dynamic updating and closed-loop verification of safety rules.

The invention discloses a high-fidelity simulation method and platform for corrosion treatment operation in a pipeline, and belongs to the technical field of simulation and control. The system comprises a modeling and importing module used for constructing a three-dimensional model of a pipeline and a robot; the coordinate initialization module is used for establishing a unified axial and circumferential coordinate system; the physical engine module is used for simulating wheel rail constraint and stick-slip phenomena; the sensor simulation module simulates vision, an encoder and a laser distance measuring sensor and unifies timestamps; the rusty spot generating module is used for generating rusty spots on the inner wall of the pipeline; the online identification module is used for identifying rusty spots and generating an operation list; the control module is used for driving the robot to carry out accurate positioning and derusting operation; the data acquisition module is used for recording simulation data; and the man-machine interaction module provides a parameter configuration and operation monitoring interface. According to the invention, the problem that the prior art lacks comprehensive simulation verification capability is solved, and high-fidelity algorithm-in-loop simulation and optimization of the pipeline rust removal robot in a zero-risk and low-cost virtual environment are realized.

This invention relates to the field of virtual simulation technology and discloses an interactive training assistance system for automotive production lines based on AI and VR. The system includes a hardware interactive terminal, a VR virtual simulation module, an AI intelligent tutor module, and a common technical support layer. The hardware interactive terminal collects user actions and postures and audio streams, presenting virtual images. The VR virtual simulation module constructs a virtual workshop scene, using a physics engine and rendering pipeline to process physical interaction logic and restore realistic material textures. The AI ​​intelligent tutor module receives the audio stream, combines it with standard production line operating procedures to generate teaching feedback, and drives a virtual digital human to provide real-time audio explanations and action demonstrations to the user in accordance with the physical interaction logic. This invention achieves zero-risk immersive operational training through the deep integration of high-fidelity physical simulation and AI intelligent guidance, effectively solving the problems of high cost, limited space, and untimely guidance in traditional physical training, and improving the trainees' operational standardization and training efficiency.

The invention discloses an injection molding machine action and modeling picture synchronization method and system, and the method comprises the steps: building a model library, drawing a high-precision model and a common model of an injection molding machine part in advance based on a preset proportion, importing the models into the model library, rubbing the structure of the high-precision model to a picture sticker, and carrying out the modeling of the high-precision model. The model is attached to the common model; configuring a physical engine, acquiring an action signal of a core part of the injection molding machine through the physical engine, and outputting the action signal to the model library; and receiving an action signal, calling the model in the model library, and realizing synchronous movement of the physical equipment and the model. According to the method, through dynamic modeling parameters, the workload of manual model making is reduced, dynamic animation adjustment parameters are achieved, the virtual world speed is matched according to the physical world speed, the time for personnel to reconstruct animations is shortened, a system configures a visual interface, data are visually adjusted on the interface, and meanwhile the deviation between the virtual world and the real world is calibrated through a sensor.

The invention discloses a three-dimensional engine positioning and navigation method and device fused with AR navigation and a medium, and the method comprises the steps: obtaining multi-source sensor data, and constructing an environment sparse three-dimensional point cloud; constructing and updating a dynamic navigation grid, importing the dynamic navigation grid and a physical collision body into a built-in physical engine of the three-dimensional engine, and constructing a dynamic digital twin environment model; on the basis of the dynamic navigation grid, searching a global optimal path, generating a curve path conforming to human body movement habits through local movement planning smoothing processing, and meanwhile, triggering real-time re-planning in combination with dynamic environment change to generate a path transition animation; based on the environment sparse three-dimensional point cloud and the curve path, depth testing and template buffering are carried out, virtual guidance elements are driven through a physical engine, and AR navigation guidance is generated through a visual, auditory and tactile multi-modal fusion mode. According to the invention, the navigation positioning precision, the environmental adaptability and the user experience are effectively improved.

The invention discloses an engineering construction digital twinborn simulation deduction method, and relates to the technical field of engineering construction, and the method comprises the deduction steps: S1, virtual scene construction: converting a construction site into a virtual three-dimensional scene through a digital twinborn simulation technology, configuring a digital construction equipment assembly and a digital component assembly in the virtual three-dimensional scene, the spatial relationship with the surrounding construction environment is reflected; s2, rapid acquisition and three-dimensional modeling: based on an oblique photography technology of the unmanned aerial vehicle, planning a route and an image acquisition action of the unmanned aerial vehicle in a preset modeling range; according to the method, low-cost rapid modeling is realized by adopting an unmanned aerial vehicle oblique photography technology, and high hardware investment is not needed; high-threshold compound talents are not needed, and popularization and application of small and medium-sized enterprises are facilitated; through combination of a centimeter-level precision three-dimensional model, mechanical dynamics analysis and a physical engine, nonlinear changes in an extreme environment and the stress state of a complex component are accurately simulated, and the problem of deviation of hoisting deduction of the extreme working condition and the complex component is effectively solved.

This invention provides a method, device, and electronic device for simulating hydraulic muscles based on the MuJoCo physics engine, belonging to the field of robot simulation technology. The method includes: acquiring the current state information of the hydraulic muscle and a predefined fixed-length parameter array; and calculating the hydraulic muscle force using a polynomial constitutive model of the hydraulic muscle through a preset muscle force calculation function interface in MuJoCo, wherein the interface is consistent with the original Hill muscle model interface of the engine. Using this invention, accurate integration of the hydraulic muscle model can be achieved without modifying the MuJoCo engine interface, improving the compatibility, stability, and modeling accuracy of the simulation system.

This application provides a method, apparatus, electronic device, and storage medium for simulating a hydraulic muscle model. The method includes: acquiring detection parameters of a hydraulic muscle model to be simulated, wherein the hydraulic muscle model includes at least a tendon, a connecting block, and a rope; one end of the tendon is deployed at a first target node, the other end of the tendon is deployed at a first surface of the connecting block, one end of the rope is fixed to a second surface of the connecting block, and the other end of the rope is fixed to a second target node; the detection parameters include at least a first nonlinear damping coefficient and a first stiffness coefficient of the rope; inputting the detection parameters into a physics engine based on multibody dynamics to obtain an initial hydraulic muscle simulation model; configuring the dynamic characteristic parameters of the simulation connecting block in the initial hydraulic muscle simulation model to obtain a hydraulic muscle simulation model. This application can achieve hydraulic muscle simulation modeling based on multibody dynamics with high simulation accuracy.

Systems and methods for operating a train using a train model are described herein. A The train model is a concatenated version of an empirical model. The empirical model is corrected and optimized using data generated by an empirical physics engine. The optimization of the empirical model reduces the number of inputs into the model, allowing for a simpler version of the empirical model to be deployed on a train as the train model. The train model can allow a computation engine of the train to receive data and calculate one or more predicted behaviors of the train. The calculations are used by an engine controller to control various operational aspects of the train in real-time while the train is operating.

The application discloses a kind of intelligent animation modeling methods based on three-dimensional technology, it is related to computer graphics and three-dimensional animation production technical field, the application reconstructs hand-object interaction logic by three-dimensional technology, realize natural fine motion generation;In virtual anchor end, such as coffee cup scene, the spatial relationship of hand skeleton and prop point cloud is quantified as the topological connection diagram that can be calculated, rigid connection edge ensures the stable grip of functional area, fingertip and cup body have no suspended gap;Elastic adsorption edge allows flexible contact of non-functional area, when palm pressure changes, deformation gradient field drives prop surface microdeformation, synchronous joint torque dynamic adjustment, avoid hand rigid distortion when coffee pours in traditional scheme. The collaborative design of graph convolution network and physical engine further eliminates the risk of wearing mold: equidistance constraint of prop rigid area retains original topological structure, and soft contact area absorbs collision energy through deformation gradient field.

The application relates to the technical field of physics teaching, and discloses a three-dimensional physical scene real-time modeling and motion track tracing teaching system, which comprises the following modules: a pre-class teaching scene preparation and lesson preparation module, a virtual-real synchronous demonstration and interactive teaching module during class, and a post-class learning situation consolidation and feedback optimization module; the pre-class teaching scene preparation and lesson preparation module is in communication connection with the virtual-real synchronous demonstration and interactive teaching module during class and the post-class learning situation consolidation and feedback optimization module; the pre-class teaching scene preparation and lesson preparation module is internally provided with a teaching scene modeling unit and a teaching adaptive physical engine unit; the virtual-real synchronous demonstration and interactive teaching module during class is internally provided with a visual collection unit, a track tracing and mapping unit and a classroom interaction control unit; and the post-class learning situation consolidation and feedback optimization module is internally provided with a learning situation statistics and analysis unit.

The invention discloses a laboratory digital twinning system and method based on an unreal engine and self-evolution AI. The system comprises a control system, a mechanical arm system, an intelligent logistics scheduling system, a digital twinning platform system and a man-machine interaction system. A local master control server of the control system is integrated with a self-evolution AI decision engine. According to the method, the self-evolution AI decision engine and the material knowledge base are integrated, so that the system can autonomously generate'component-structure-performance 'assumptions and create new material targets; the method comprises the following steps: integrating a physical engine in a high-fidelity digital twin constructed by an unreal engine to carry out ten-thousand-level simulation rehearsal, and establishing a causal intervention channel interacting with a physical entity in real time; distributed intention sharing nodes are established among digital twin bodies of multiple mechanical arms, and cooperative motion planning and collision detection are performed based on a virtual space, so that multi-arm cooperation is upgraded from simple time sequence cooperation to intelligent cooperation with prediction and collision avoidance capabilities.