151 results about "Control Interaction" patented technology

A system uses a large language model (LLM) to implement a controlled artificial intelligence chat environment. The system may control interaction with the LLM using prompt templates that may be selected, customized, and / or modified based on information known about the user with whom the LLM will be interacting. Further, the system may evaluate output of the LLM to make changes to the LLM, the prompt templates, and so on. In some implementations, the system may use evaluation training data to adapt and fine-tune the LLM and / or another language model to evaluate output of the LLM in order to evaluate the efficacy of the chronic condition and / or disease management coaching path(s), and make improvements to the online or offline implementation of the language model in the future.

The invention discloses a dynamic water quality monitoring system based on an unmanned ship and a data acquisition and distribution algorithm. Comprising an unmanned ship platform module, an initial navigation path setting module, a water quality data acquisition module, a dynamic adjustment and optimization module, a control interaction module and a dynamic adjustment and optimization module, wherein the dynamic adjustment and optimization module dynamically adjusts the navigation strategy and sampling frequency of the unmanned ship in a target to-be-detected water area through a second branch of a first neural network model; the unmanned ship can sail autonomously, continuous and global water quality monitoring is achieved, through an efficient data processing algorithm, the accuracy and reliability of data are improved, a scientific basis is provided for water quality management, a distributed algorithm model is achieved to conduct predictive analysis on each specific target sampling point, the accurate predictability of unmanned ship monitoring is improved, and the water quality monitoring efficiency is improved. The monitoring strategy is dynamically adjusted according to actual requirements, optimal configuration of monitoring resources is achieved, the monitoring cost is reduced, the water quality change trend is found in advance through prediction analysis of the neural network model, and powerful support is provided for early warning and emergency response.

The invention relates to an unmanned aerial vehicle power management and information monitoring system, and the system comprises a power management and information monitoring device which is connected among an unmanned aerial vehicle power supply, an unmanned aerial vehicle flight controller, and an unmanned aerial vehicle load set. Wherein the power management and information monitoring equipment is internally integrated with a unified power management module used for receiving electric energy of an unmanned aerial vehicle power supply and providing one or more transformed stable power supplies for an unmanned aerial vehicle load set; and the information and control concentrator module is used as an information and control relay among the unmanned aerial vehicle flight control, the unmanned aerial vehicle load set and the sensor. The invention aims to help to solve the problems of complex flight control interface and overweight operation burden caused by direct data and control interaction between numerous airborne equipment and a flight controller, and low system integration degree and insufficient reliability caused by decentralized management of a power supply in an existing unmanned aerial vehicle system.

A system can generate a risk assessment associated with an identity element used in interactions associated with a user entity. For example, the system can receive historical data related an identity element associated with a user entity, the identity element used in a set of interactions associated with the user entity. The system can generate a binomial distribution of the historical data associated with the identity element. The system can determine, based at least in part on the binomial distribution of the historical data, a risk indicator associated with the identity element. The system can control, based at least in part on the risk indicator associated with the identity element, an interaction involving a target entity and the user entity using the identity element.

The interactive game room systems described herein incorporates various components such as player data, game data, control data, and a network of servers to support interactive game room facility management. Player data may include names, team affiliations, historical gameplay, and preferences, while game data is generated from sensors within the room, tracking player actions and game states. Control data can regulate technician access to various features, depending on authorization levels and game types. These systems can be interconnected via servers, enabling seamless communication between game logic, status screens, control apps, and site operations. Machine learning can be used to analyze player data and control interactions, optimizing game configurations and technician controls. Additionally, machine learning can improve team onboarding such as assignments, waiver processing, and gameplay by leveraging historical data to offer personalized experiences. Together, this can create a robust, flexible environment for managing interactive games, allowing for efficient gameplay.

The utility model provides a charging gun, relates to the technical field of charging guns, and solves the problem that a charging gun cannot provide control interaction and is difficult to configure and use in the prior art. The charging gun can provide a fault prompting function for a user through a display screen and a three-color indicating lamp on the charging gun, so that the user can know a fault reason conveniently, and the charging gun can also provide a corresponding touch control function for the user through a touch key, so that the user can perform touch control configuration on the charging gun conveniently. The charging gun can perform corresponding detection, so that a user can know the current charging state of the charging gun and perform corresponding configuration, and the use experience of the user can be improved.

The invention discloses a three-dimensional scene multi-dimensional instruction collaborative mapping method and system based on a multi-modal large model and a knowledge graph, and belongs to the technical field of artificial intelligence. The method comprises the following four steps: acquiring and preprocessing a multi-mode instruction; performing instruction analysis and element disassembly, calling a built-in pre-training large language model by the multi-modal large model, disassembling the instruction into appearance, scene and control interaction elements through customized Prompt, and processing logic and dependency relationships; multi-dimensional state driving is carried out, and appearance parameter mapping, action sequence generation and cross-modal conflict resolution and semantic-voice-expression linkage execution are achieved through appearance, action and language intelligent agents; and the central coordinator schedules agent parallel tasks based on the knowledge graph. The system correspondingly comprises a function module for executing four steps. According to the method, the multi-dimensional instruction cooperative control precision and response efficiency of the three-dimensional scene can be effectively improved, the labor cost is reduced, and the method is adaptive to diversified interaction scenes.

The invention discloses a robot compliance force control interaction method, system and device for a collaborative sewing scene and a storage medium. The method comprises the steps of setting a preset period of a contact force track, a speed track and a pose track; before the task is started, collecting data of a plurality of groups of force sensors, completing dynamic gravity compensation, and calculating real contact force in real time; in the task process, the real contact force is continuously obtained, the speed deviation and the pose deviation are obtained, the real contact force, the speed deviation and the pose deviation are input into a compliant controller based on an admittance model, and the target pose of the mechanical arm in the next step is dynamically adjusted; the compliant cooperation is repeatedly executed until the whole cooperation sewing task is completed; after the task is finished, a parameter optimization algorithm based on smooth iterative learning is constructed, the real contact force trajectory, the speed trajectory and the pose trajectory are used as input, the smooth iterative learning algorithm autonomously optimizes parameters of a compliant controller, and the optimal force-position trajectory tracking performance is achieved. According to the invention, a safe and stable robot cooperation sewing task is realized.

The invention provides an XR interaction method, device and equipment based on voice control, and belongs to the technical field of human-computer interaction. The method comprises the following steps: receiving a multi-modal interaction data stream acquired by a multi-modal sensor; recognizing and analyzing a voice signal in the multi-modal interaction data stream to determine a corresponding voice control instruction; wherein the voice control instruction comprises an operation intention and space description; the spatial description is spatial constraint information of the user on the target operation object; determining a corresponding target interaction space area based on the voice control instruction and one or more non-voice behavior information synchronized with the voice signal in the multi-mode interaction data stream; and matching a target operation object corresponding to the voice control instruction according to the information of each operable object in the target interaction space region, and executing an XR interaction operation corresponding to the operation intention according to the target operation object. Therefore, high-precision, high-dynamic-adaptability and high-reliability voice control interaction is realized.

The invention relates to the technical field of smart home and health monitoring, and particularly discloses a sleep monitoring control interaction system and method based on artificial intelligence and data fusion, and the system comprises a sensing data acquisition module, a sleep environment recognition module, a mattress adjustment judgment module and a control strategy feedback module. A high-density sensor array network is embedded in a mattress body and is used for detecting pressure distribution data and temperature distribution data at a current sleep time point in real time; the sleep environment at the current sleep time point is further judged, the sleep environment is divided into a single-person sleep environment and a multi-person sleep environment, and the multi-person sleep environment is further divided into an adhesive multi-person sleep environment and a non-adhesive multi-person sleep environment; and finally executing dynamic adjustment strategy analysis. By monitoring and analyzing the pressure distribution in real time, the system can identify the part where a human body is in contact with the mattress and the pressure change, so that the supporting structure of the mattress is dynamically adjusted, and the sleep quality is improved.

The invention provides a nanoscale metal tip intelligent detector and a use and analysis method thereof. The device integrates a high-precision imaging and positioning module, an intelligent analysis module, an intelligent control interaction module and an automatic execution mechanism. The imaging and positioning module is composed of an optical microscope, a high-resolution CCD camera and a three-axis precision objective table and supports nanoscale morphology feature capture and micron-scale positioning precision. The intelligent analysis module can automatically extract the curvature radius, the taper angle, the surface roughness and other key parameters. The control interaction module is coupled with the automatic execution mechanism, so that automatic control of the detection process and remote storage and optimization of process data can be realized. The device can automatically complete the detection and intelligent analysis of the morphology of the nanoscale metal tip, is compatible with application scenes such as single nanopore / pore channel preparation, scanning probe tip morphology characterization and nano device detection, and remarkably improves the operation efficiency while maintaining high-precision detection.

The invention discloses a bridge self-adaptive rapid dismantling system and method based on digital twin and SPMT module vehicles, and the system comprises construction equipment which is used for cutting and dismantling a bridge structure; the SPMT module vehicle cluster is used for bearing and jacking a bridge structure; the digital twinborn decision-making platform comprises a data acquisition module, a simulation analysis module and a control interaction module, and the data acquisition module is used for acquiring operation state data of a bridge structure and construction equipment in real time; the simulation analysis module is used for carrying out stress analysis on the bridge structure, predicting stress distribution in the cutting, jacking and transportation processes, comparing preset data with a threshold value, triggering a corresponding three-level alarm mechanism if the preset data is greater than the threshold value, and optimizing a moving path of the SPMT module vehicle by adopting a preset dynamic path planning algorithm; and the control interaction module is used for realizing real-time data exchange and interaction control among the digital twinborn decision-making platform, the SPMT module vehicle and the construction equipment. The construction safety level and efficiency can be remarkably improved.

A winch control apparatus (100) for a vehicle, a control system (200), a vehicle (1000), a winch control interaction method, an interaction apparatus (500), an interaction system (600), and a computer readable storage medium (700). The winch control apparatus (100) comprises a domain controller (20) and a high-voltage winch (30). The domain controller (20) is used for sending a control signal to the high-voltage winch (30). A controller (31) is used for receiving the control signal, and controlling a motor (32) on the basis of the control signal. Therefore, the controller can interact with the whole vehicle, thereby improving the convenience of control over the high-voltage winch.

The invention provides a steel pipe whole-process intelligent tracking system based on multi-mode sensing fusion, and relates to the technical field of ferrous metallurgy intelligent manufacturing. The system comprises the following modules: a visual perception module, which is used for collecting the appearance characteristics, the spatial position and the motion state of a steel pipe in the whole process of steel pipe tracking; the one-by-one tracking and decision-making module is used for constructing a closed-loop work flow comprising data acquisition, fusion processing, decision-making output and feedback optimization by deeply fusing visual perception information and multi-source industrial signals; and the control interaction module is in two-way communication with the bottom PLC and an upper computer, receives equipment signals, feeds back the equipment signals to the tracking module, issues a tracking / alarming instruction to the PLC and synchronizes data to the MES. According to the method, the problems of blind areas, information chain scission and manual dependence of traditional tracking are solved, the whole process of the hot-rolled seamless steel pipes from a cooling bed area to material frame bundling through saw cutting segmentation is achieved, and one-by-one accurate tracking and quality control are achieved.

A method for compensating for dynamic changes in a body of a patient during a controlled interaction with the body includes acquiring data from at least one sensing device disposed on the body and detecting a change along at least one optical fiber of the sensing device caused by dynamic changes associated with the body during the controlled interaction. A respiratory gating signal is generated based on the change along the at least one optical fiber of the sensing device measured over time. The method further comprises controlling relative movement between the body and an interactive device in response to the respiratory gating signal to compensate for the dynamic changes associated with the body during the controlled interaction.

The invention relates to the technical field of cockpit display and control interaction testing, and discloses a cockpit display and control interaction testing system based on multi-modal fusion, and the system comprises an interaction data input module which is used for obtaining the basic parameters of a to-be-tested cockpit display and control device, such as the device model and the screen size; the multi-mode signal acquisition module is used for acquiring visual, auditory and tactile signals in the cabin environment based on the basic parameters; the fusion feature processing module is used for carrying out feature fusion processing on the multi-modal signals to obtain interactive feature fusion data; the test scene construction module is used for generating a standardized test scene based on the interactive feature fusion data; and the interactive performance verification module inputs the standardized test scene into the to-be-tested equipment to execute a verification test, and transmits a result to the display terminal for presentation. According to the system, acquisition and fusion of multi-modal signals are realized, a test scene close to reality can be generated, and the accuracy and efficiency of the interaction performance test of the cabin display and control equipment are improved.

According to one aspect, learning physics-based interactions from demonstration may include learning a sparse embedded interaction graph from a fully connected graph indicative of an interaction between a first character and a second character based on cross attention between a pose and a current interaction graph and training a policy for controlling interactions between the first character and the second character based on using the sparse embedded interaction graph as a reward.

A system uses a large language model (LLM) to implement a controlled artificial intelligence chat environment. The system may control interaction with the LLM using prompt templates that may be selected, customized, and / or modified based on information known about the user with whom the LLM will be interacting. Further, the system may evaluate output of the LLM to make changes to the LLM, the prompt templates, and so on. In some implementations, the system may use evaluation training data to adapt and fine-tune the LLM and / or another language model to evaluate output of the LLM in order to evaluate the efficacy of the chronic condition and / or disease management coaching path(s), and make improvements to the online or offline implementation of the language model in the future.

1. The name of the design product: the graphical user interface of the rapid creation management and reuse control interaction of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the product interface is the interface for displaying and interacting with the rapid creation, management and reuse of controls; the interface is used to save containers containing multiple controls and complex styles as independent units and quickly reuse them in pages with similar layouts; the front view interface is the interaction interface for creating the home page; in the front view interface, clicking the "add as control combination" button triggers the creation process, and the interface change state diagram 1 is displayed; in the interface change state diagram 1 interface, fill in the control combination information, save it to the control combination, and display the interface change state diagram 2.

Presents concepts for controlling interactions with a scalable application. Examples include registering an interface specification with the application, where metadata is associated with the interface specification. The method then includes: routing requests to multiple instances of the application based on metadata associated with the interface specification of the application, and then combining one or more responses from the multiple instances of the application based on metadata associated with the interface specification of the application to form an aggregated response.

A robot control system includes a robot controller, a data transmission module, a servo drive module, a safety unit, a demonstrator, and a power module. The servo drive module is connected to the robot controller via the data transmission module and receives a movement instruction to drive a robot to move. The safety unit is connected to the robot controller and the servo drive module via the data transmission module and turns off, upon receiving an abnormal input signal or a failure signal, the servo drive module and transmits the abnormal input signal or the failure signal to the robot controller. The demonstrator receives a terminal video signal and a first control interaction signal from the robot controller, and sends a second control interaction signal to the robot controller to control operation of the robot controller. The power module is electrically connected to the robot controller and the safety unit.

The invention discloses a design method for controlling interaction of a plurality of radio stations under short-wave networking, which comprises the following steps of: in a starting stage, acquiring radio station fixed parameters of all network control console sides; sending an application subscription protocol to all radio stations on the network console side; sending all successfully planned short-wave frequency sets to the successfully subscribed radio stations, and pre-tuning the frequency sets by the radio stations; sending other parameter configurations of the radio station to the radio station which is successfully pre-tuned, and sending a setting result after the radio station is successfully set; after a task execution command is sent out, service switching is carried out; selecting a proper transmitting radio station group; a transmitting frequency point of each transmitting point is selected through an ionosphere propagation prediction model frequency selection algorithm, and the frequency and the bandwidth of the current service are modified at the corresponding radio station; state reports of the selected radio station groups are compared, and the same service content information is uniformly sent to the ready radio stations within a certain time; according to the scheme, the wireless transmission efficiency under networking is improved, and the diversity combining effectiveness is improved.

The application relates to the technical field of touch screens, in particular to an oil-contaminated environment touch control identification method and system, a storage medium and electronic products. The steps comprise: collecting micro-vibration signals generated by a piezoelectric film array during touch control interaction, the micro-vibration signals being used to reflect the mechanical characteristics of touch control operation; extracting a damping coefficient feature and a frequency spectrum peak value feature from the micro-vibration signals, the damping coefficient feature being used to distinguish the mechanical impedance difference between finger pressing and oil contamination covering, and the frequency spectrum peak value feature being used to distinguish the vibration frequency distribution difference between finger pressing and oil contamination covering. The oil-contaminated environment touch control identification method and system of the application fundamentally break through the technical limitation of capacitive touch control relying on dielectric constant by deeply integrating piezoelectric mechanical vibration sensing and artificial intelligence classification technology, and improve the accuracy of touch control identification in an oil-contaminated environment.

The invention provides a data stream processing method and system based on cloud edge collaboration. The method comprises the following steps: acquiring an original data stream, and performing data cleaning on the original data stream to obtain a current data stream; carrying out object identification on the current data stream, and determining the state attribute of each object element; determining each portrait attitude based on the current data stream, and judging whether a control interaction relationship exists between each portrait attitude and each object element of the dynamic attribute; determining each object element having a control interaction relationship with the same portrait posture as a control interaction set, and sending the control interaction set to a user side; and determining at least part of the object elements as an interactive customized combination based on the selection of the user side on at least part of the object elements in the control interaction set corresponding to any portrait posture, and performing entry labeling on the interactive customized combination by using the obtained customized entry created by the user side. According to the method, the corresponding computing power network is combined, so that the customized demand experience is at least improved.

Provided in the present application are a touch-control interaction method and apparatus, which are applied to a terminal device comprising a capacitive touch screen and an ultrasonic sensor. The method comprises: when a terminal device is covered in a liquid or a capacitive touch screen of same fails, acquiring an enable operation for an ultrasonic mode; and in response to the enable operation for the ultrasonic mode, presenting a first interface in an ultrasonic sensing area of the terminal device, wherein the first interface comprises at least one application identifier, and the ultrasonic sensing area is an area of a screen of the terminal device, which area is used for sensing a user operation by means of the ultrasonic sensor. The method provided in the present application can ensure the normal interaction between a user and a terminal device when a capacitive touch screen is not working well or even fails.

A system can generate a risk assessment associated with an identity element used in interactions associated with a user entity. For example, the system can receive historical data related an identity element associated with a user entity, the identity element used in a set of interactions associated with the user entity. The system can generate a binomial distribution of the historical data associated with the identity element. The system can determine, based at least in part on the binomial distribution of the historical data, a risk indicator associated with the identity element. The system can control, based at least in part on the risk indicator associated with the identity element, an interaction involving a target entity and the user entity using the identity element.

The invention discloses a knob type control interaction method and system of a range hood, and relates to the technical field of control interaction, a working procedure table of the range hood is determined according to a plurality of key working characteristics of the range hood and a current working instruction combination, and a plurality of working items are determined based on recognition of the working procedure table. Determining an autonomous control event of the range hood according to the item content of the plurality of working items, the corresponding item priority and the current working state of the range hood, and determining the temporary working content of the range hood according to the first control interaction signal and the autonomous control event of the range hood, determining a delay mode of the range hood according to the temporary working content, the corresponding working time and the working process of the range hood; and determining the corresponding abnormal working content according to the identification of the abnormal working signal, determining the corresponding abnormal working factor according to the abnormal working content, the delay mode of the range hood and the autonomous control event of the range hood, and triggering the early warning maintenance state of the range hood.

The invention discloses a man-machine cooperation variable admittance control method based on multi-source information fusion, and the method comprises the steps: installing a force sensor and a load at the tail end of an industrial robot, and building a space coordinate system comprising a plurality of coordinate systems; establishing an envelope body of the load along the directions of three degrees of freedom, establishing a binding point on the envelope body, and obtaining the position of the binding point in a world coordinate system; position information of an operator in a working space is obtained through a visual camera, and then the distance between the binding point of the envelope body and the operator is obtained; an admittance control interaction model of the load and the external environment is established, and the operation intention of the operator is quantified according to the interaction force of the operator after inertia compensation and the speed information of the load acquired by a force sensor; and establishing a change model of admittance control parameters, and inputting the envelope body, the position of the operator and the operation intention information into the change model to realize real-time change of the admittance parameters for man-machine cooperation. According to the invention, rapid response and compliant cooperation in the man-machine interaction process are realized.

The invention relates to a control interaction updating method and device, equipment and a medium. The method comprises the steps of determining a first visual state of a role skill control in response to a first accumulation event that a first energy resource is accumulated to a first threshold value; when it is detected that the buffered energy resource accumulates to a buffer threshold based on the specific skill sequence, activating the application permission of the energy skill of the player character; filling a second energy resource based on a skill release operation of a player character release energy skill, and determining a second visual state of the character skill control when the second energy resource accumulates to a second threshold value; and updating visual special effect data of the role skill control in real time according to the first visual state and the second visual state so as to render a visual special effect style of the role skill control according to the visual special effect data. According to the method and the device, a player can intuitively obtain multi-level skill preparation information from composite visual feedback of a single control, so that the interface cognition burden of the player is reduced, and the continuity and response efficiency of human-computer interaction are improved.

A surgical system may include tiered-access features. The surgical system may be used to analyze at least a portion of a surgical field. Based on a control parameter, the system may scale up or down various capabilities, such as visualization processing, endocutter communication, endocutter algorithm updates, smart cartridge connectivity, smart motor control for circular stapler, smart energy control, cloud analytics, hub connectivity control, and / or hub visualization and control interactions. The control parameter may include system aspects such as processing capability or bandwidth for example and / or the identification of an appropriate service tier.