51 results about "Mobile navigation" patented technology

According to the home assistant system based on the large language model agent, a voice interaction module receives voice input of a user and converts the voice input into a text, multi-language recognition and voice synthesis are achieved through natural language processing, and natural and smooth two-way voice interaction is supported. The WeChat interaction module receives and processes text or voice information sent by a user through WeChat, and remote instruction input and information feedback are achieved. The core of the system is a plurality of functional Agent modules. The task analysis Agent analyzes semantics input by a user based on a large language model and dispatches a corresponding functional Agent to execute tasks, and the functions of information query, smart home control, information transmission, mobile navigation, monitoring and the like are covered. Personalized learning and optimization can be carried out according to a user-defined information base, use habits and historical records, the task execution precision and efficiency are improved, and the method is suitable for multi-scene application in the field of smart home.

The invention relates to the field of navigation systems, and particularly discloses a mobile navigation system for an intelligent service robot, which comprises a data acquisition and preprocessing subsystem, an environment analysis and weight setting subsystem, a data fusion and decision subsystem, an optimization and guarantee subsystem and an external interaction and support subsystem. The data acquisition and preprocessing subsystem comprises a sensor module and a calibration and preprocessing module; the environment analysis and weight setting subsystem comprises an environment perception and evaluation module; a sensor performance classification module; an initial weight setting module; a weight dynamic adjustment module; according to the mobile navigation system for the intelligent service robot, the multi-sensor fusion technology is adopted, the weight can be dynamically adjusted according to real-time environment information through a dynamic trust weight distribution mechanism based on environment complexity, higher adaptability and robustness are achieved, and the precision and reliability of robot navigation are improved.

The invention provides a terrain elevation map generation method and system based on radial basis function fitting, and the method comprises the steps: receiving historical point cloud information and odometer information, generating a local point cloud map, and carrying out the downsampling; dynamically generating a center point of the RBF based on the down-sampled local point cloud map and the ground fitting area; calculating a kernel matrix according to the down-sampled local point cloud map and the central point, and iteratively calculating the weight of the central point through GPU parallel acceleration to generate a terrain manifold; and calculating and outputting an elevation map through GPU parallel acceleration according to the terrain manifold. According to the method, the fitting speed is remarkably increased, the real-time performance of elevation map generation is ensured, and the map generation speed is greatly increased; the elevation information of the dynamic obstacle is updated while the elevation information of the static obstacle is reserved, and perception information is provided for movement, navigation and obstacle avoidance of the intelligent wheelchair; and an elevation map, a gradient map and a normal vector map with any resolution can be output.

The invention relates to the technical field of underway systems, in particular to a mobile underway analysis visualization system. According to the technical scheme, the system comprises a data acquisition layer, a data processing and analysis layer, a software integration layer, a function application layer and a user interaction layer, the data acquisition layer is used for acquiring key data from a professional data source, and meteorological data are acquired by means of a professional meteorological API interface, a platform vehicle-mounted ultrasonic meteorological sensor and a vehicle-mounted three-dimensional ultrasonic anemograph; gas concentration data of greenhouse gas is collected by a Picarro analyzer and a PRI analyzer in real time, GPS data is obtained through a vehicle-mounted high-precision RTK multi-frequency Beidou module, and map data is called from a map service API. According to the invention, meteorological and gas concentration multi-source data can be comprehensively collected and integrated, the advanced technology is adopted to efficiently process and analyze the data for real-time collection, real-time analysis and real-time display, the real-time performance is ensured, accurate prediction is realized, various requirements are met, and the operation is convenient; and an advanced architecture and a stable mechanism ensure reliable operation of the system.

The invention discloses a mobile navigation method and device of a robot constructed based on a map, terminal equipment and a storage medium, and belongs to the technical field of robot navigation. The method comprises the following steps: acquiring an exhibition hall navigation map, odometer data, real-time laser point cloud data and end point coordinates of an exhibition hall; generating a global path to enable the robot to move along the global path; when the robot moves, clustering analysis is carried out on real-time laser point cloud data, and the shortest distance between the robot and an obstacle is obtained; if the shortest distance is smaller than a first preset distance threshold value, the robot is made to stop moving; if the shortest distance is not smaller than a first preset distance threshold value and smaller than a second preset distance threshold value, the robot is made to detour along the side, with the largest width, of the channel; and if the shortest distance is not less than a second preset distance threshold, generating a regression transition path to optimize the current global path. By implementing the invention, the problem that the accuracy and the intelligent level of the existing navigation method are insufficient can be solved.

The present invention relates to a method and device for controlling a preheating system for a traction battery of an electric vehicle (10). To this end, navigation data representing a predetermined route for the electric vehicle (10) is received from a mobile navigation application running on a mobile communication device (101) connected to the electric vehicle (10). This navigation data includes information representing a series of stops at a charging station. Control parameters for the preheating system of the traction battery of the electric vehicle (10) are determined based on this information. The control parameters are then transmitted to the preheating system. (See Figure 1 for abbreviations.)

The present invention discloses an autonomous network community management system based on blockchain technology. The network management system includes a customer identification module, a commodity sampling module, and a network navigation module. The customer identification module is used to identify the customer flow in each area of the community supermarket. The commodity sampling module is used to calculate the sales situation of the commodities on the floor stacks in each area. The network navigation module is used to move the positions of the floor stacks in each area according to the customer flow and the sales situation of each commodity floor stack. The customer identification module includes an infrared sensing module, a counting module, and a timing module. The commodity sampling module includes a quality sensing module and a popularity analysis module. The network navigation module includes a positioning module, an arrangement matching module, and a mobile navigation module. The popularity analysis module is electrically connected to the arrangement matching module. The present invention has the characteristic of controlling the movement of the floor stacks for placing commodities according to the actions of customers taking and putting back.

The application discloses a kind of mass geophysical prospecting data storage retrieval and drawing method in mobile terminal map under offline state, it includes: (1) mobile terminal geophysical prospecting data is stored using embedded relational database sqlite, and table is respectively built according to project, view level;(2) when map program runs, according to the level of map display, view range, project authority in lower level, retrieve, render data in the data table of corresponding level;In high level range, only render all line data that meet the conditions according to project authority;(3) when user carries out map zooming, moving operation each time, first retrieve operation of geophysical prospecting data is carried out, according to the result of retrieval, drawing is carried out in batch in different layers;(4) the default map range of first opening of map application is controlled.The application can bring very intuitive efficiency improvement to construction planning management, vehicle mobile navigation, efficient production organization of geophysical prospecting project, the prospect is very broad, and it has very important significance.

The application discloses a language interactive robot capable of serving users, comprising: a rack; a laser radar sensor located above the rack; an RGB-D camera located on one side of the rack, the laser radar sensor and the RGB-D camera being capable of environment sensing, enabling the user to customize the working range of the robot; a WIFI module located on the other side of the rack opposite to the RGB-D camera; a GPT model module for interacting with the user, comprising a microphone for receiving the voice of the user; a speaker for playing the voice of the robot; an ASR voice-to-text module for converting the voice of the user into text as input data; a TTS text-to-speech module for converting the text generated by the robot into the voice of the robot for the speaker to play; a processor and a memory, wherein the memory has computer program instructions stored thereon. The robot can realize intelligent and efficient voice interaction with the user, and can perform more accurate mobile navigation.

The invention relates to the technical field of engineering structure detection, and discloses an intelligent engineering detection robot system for cooperative detection of a multi-modal sensor, which comprises a mobile navigation module, a multi-modal detection tool module, a mechanical arm execution module, a sensor fusion and force application control module and a self-inspection and calibration module. High-precision navigation is realized by fusing laser SLAM and BIM models, multiple detection tools are integrated, modular quick change is supported, detection actions are accurately executed through a mechanical arm pose control and trajectory tracking algorithm, detection stability and accuracy are ensured by combining multi-sensor data fusion and dynamic force application adjustment, and automatic calibration and fault early warning capabilities are achieved. And the automation and intelligence level of engineering structure detection is obviously improved.

The invention provides a mobile navigation method of a hydraulic gate wall-climbing robot navigation system. The mobile navigation method comprises the steps of multi-mode sensing and data synchronization. Environment modeling and attachable area segmentation are carried out; real-time motion planning based on SBMPO is carried out; carrying out metamorphic configuration optimization and gait selection; performing layered execution and discrete state feedback control; through the SBMPO algorithm based on sampling and in combination with direction self-adaptive heuristic search, the problems that a traditional path planning method is low in efficiency and difficult to meet dynamic motion constraints in a complex motion environment are solved, meanwhile, on one hand, the problems of autonomous navigation and accurate positioning of the multi-legged robot on a vertical large-range complex surface are solved, and on the other hand, the multi-legged robot can be accurately positioned. And on the other hand, by optimizing the motion path and gait decision, mechanical loss and operation energy consumption are reduced, and the automation level and operation and maintenance safety of hydraulic steel gate detection are improved.

Systems and methods for data corroboration and forecasting in which a sever generates structured customer feedback data from unstructured customer verbatim data and uses unsupervised machine learning modeling techniques to identify similar word clusters within the structured customer feedback data, classifies the identified word clusters into multiple categories of customer issues, and detects one or more trending customer issues within the multiple categories. The server may also retrieve web / mobile application usage analytics data and system logs data and use unsupervised machine learning modeling techniques to corroborate customer web / mobile navigation and service issues associated with the structured customer feedback data.

The application provides a multi-target waypoint planning method and system fusing an improved A* algorithm and an SPFA algorithm, and the method mainly comprises the following steps: a mobile navigator rasterizes the surrounding environment, and calibrates a target point set and a starting point of the navigator to simulate a task scene; a distance value calculation of the starting point to the target point is performed through construction of the improved A* algorithm; a negative edge weight map with point priority, direction and without negative loop is established through fusion of the improved A* algorithm and the SPFA algorithm, and the best waypoint order can be obtained according to the point priority in the negative edge weight map; the navigator moves according to the waypoint order to traverse the task target points, and global path planning and local path planning algorithms are realized. Through the application, a large number of path points and inflection points are reduced, the total path length is shortened, the total path cost is reduced, the overall efficiency is improved, and a reasonable and fast feasible path is planned in a multi-target waypoint task in a complex environment.

The invention relates to a voxel-based navigation agent framework construction method, which comprises the following steps of: 1, constructing a path planning framework based on a live event: capturing multi-dimensional situation information for a live environment, quickly collecting environment change, fusing mass heterogeneous data of a multi-element and multi-dimensional sensor, and constructing a path planning framework based on the live event; constructing a panoramic semantic map and an updating mechanism oriented to maneuvering navigation, and realizing a path planning analysis and decision algorithm; and 2, packaging a path navigation agent: constructing the path navigation agent based on a path planning algorithm framework, and driving to complete a complete navigation link closed loop. The problem that the navigation technology facing large-scale and complex scenes is difficult to express in the three-dimensional space of the scene, especially in the aspects of precision and integrity is solved, the navigation provided by the invention does not depend on fixed road network data, can be used in any complex scene, can identify tiny obstacles, and can be applied to the field of navigation. The optimal global maneuvering route can be calculated according to the maneuvering characteristics of the vehicle, and the on-board guidance can be carried out according to the real-time information.

According to the mobile intelligent hospital guide robot, convenient and efficient hospital guide services such as appointment registration, fee payment and report query are provided for a user, mobile navigation can be carried for the user who is inconvenient to move in a hospital, and the problem that the service of the hospital guide robot is single is solved. According to the movable intelligent hospital guide robot, self-positioning and navigation are achieved through the multi-sensor fusion technology combining the laser radar and the depth camera. The invention designs a 3D hardware structure and an application logic architecture of a movable intelligent hospital guide robot. The application logic architecture is mainly used for cooperative interaction among a movable intelligent hospital guide robot end, a user end APP, an intelligent medical management system and a hospital cloud platform. A user can complete path navigation and hospital guide consultation operation through the mobile intelligent hospital guide robot end, and can also complete operations such as appointment registration, report viewing and fee payment on a user end APP, so that hospital guide requirements in different scenes are met.

The application discloses a mobile operation cooperative execution method based on a Robonix operation system and belongs to the technical field of somatic intelligent device control. The mobile operation cooperative execution method based on the Robonix operation system comprises that the method runs in the Robonix operation system comprising an Atlas control plane, a Pilot reasoning engine, an Executor execution engine, a Liaison interaction gateway, a scene state service and a plurality of capability providers, and that heterogeneous capabilities such as mobile navigation, mechanical arm operation, visual perception and voice interaction are uniformly registered, discovered and called through a capability contract. The Pilot dynamically generates an RTDL task plan according to a user natural language task and a current available capability, the Executor calls the capability providers of different protocols according to the plan, and the execution result is fed back to the Pilot. The Pilot re-plans a task step in combination with a scene state. The application realizes semantic driven cooperative execution of mobile and operation capabilities, reduces the development and migration cost of a heterogeneous robot system, and improves the reliability of composite task execution in an unstructured environment.

A system includes personal protective equipment (PPE) configured to be worn by an agent. The PPE includes a sensor assembly configured to generate sensor data including one or more of motion data, heading data, and inertial data. The system also includes at least one computing device configured to receive the sensor data from the sensor assembly. The at least one computing device is also configured to generate pose data of the agent based on the sensor data in response to a series of movements by the agent away from an arrival point. The pose data includes an agent location, an agent heading, and a movement activity type for each pose in a series of poses. The at least one computing device is further configured to generate a navigation path based on the pose data.

A mobile device establishes an indirect network connection to a User Interface (UI) agent of a terminal. The indirect connection managed as a mobile navigational control session maintained through a server or through the server and a proxy. A keyboard widget / object and a navigation-selection widget / object are rendered within a mobile screen on a display of the mobile device. During the session, a user interacts with the keyboard and / or navigation-selection widgets and corresponding UI key events are forwarded to the UI agent. The UI agent provides the UI key events as Human Interface Device (HID) key events to the terminal causing a transaction interface to update transaction screens being rendered on a transaction display of the terminal during a transaction. The user conducts the transaction at the terminal without touching the transaction display and controls the transaction screens for the transaction via the keyboard and navigational widgets from the mobile device.

The invention discloses an automatic planning management system for a fuzzy area of a cleaning robot, which relates to the technical field of intelligent hotel cleaning and comprises a user module used for interacting with a user and a split cleaning robot module used for providing automatic and intelligent cleaning service. An algorithm module for processing user information is arranged between the user module and the split cleaning robot module; the split cleaning robot module comprises a chassis lifting unit, a mobile navigation unit, a dirt point visual identification unit, an automatic cleaning area planning unit, a cleaning starting unit and a cleaning ending unit which are connected in sequence, so that the task of cleaning a fuzzy area is conveniently achieved. According to the automatic planning management system for the fuzzy area of the cleaning robot, the cleaning robot can carry out detailed identification in the fuzzy area, the identification degree of the fuzzy area is improved, and meanwhile, the cleaning path can be divided for the fuzzy area according to the performance of the cleaning robot, the requirements of the cleaning task and the characteristics of the cleaning area.

This invention provides a method for autonomous mobile navigation path planning in an ICU, relating to the field of path planning technology. The method includes: acquiring patient tags, task identifiers, and intervention records in an ICU disaster scenario; extracting task time series and analyzing frequency characteristics; filtering passage segments and matching time windows; identifying equipment overlap and operational conflicts; extracting remaining tasks to generate a scheduling sequence; rearranging path nodes and integrating task levels; and generating a navigation path segment sequence. In this invention, by extracting task time features and spatial states, priority task points are generated and passable paths are filtered. This adapts to the high density of ICU beds and path compression in disaster scenarios. Resource conflicts are identified by combining equipment usage records and node spatial relationships to avoid task overlap. A scheduling sequence is constructed based on task stagnation status, improving path adjustment efficiency and enhancing the robot's ability to respond to unexpected tasks and the continuity of path execution.

A navigation system for guiding a target user, comprising: a user tracking module arranged to track a movement of the target user; a navigation vehicle arranged to guide a target user to move toward a predetermined destination through a trajectory relative to a movement of the tracked target user; wherein the user tracking module is arranged to track movement of the target user from a leading location relative to the tracked target user moving in the forward direction.

The invention discloses an intelligent self-service door-to-door recycling bin, and belongs to the technical field of resource recycling. According to the technical scheme, the intelligent self-service door-to-door recycling bin comprises a bin body module, a mobile navigation module, an intelligent interaction module, a weighing and settlement module, a dangerous goods recognition module and a cloud scheduling system; wherein the cloud scheduling system is used for receiving a recovery demand of a user, scheduling a target recovery box and issuing an instruction containing a navigation path; the mobile navigation module is used for responding to the instruction and driving the recycling bin to automatically move from the intelligent base station to a position appointed by a user, so that indoor and outdoor navigation switching and elevator interaction are realized; according to the system, the autonomous door-to-door service of the recovery box is realized through the cloud scheduling system, the safe and efficient recovery process is completed in combination with the dangerous goods identification and real-time settlement module, and the system has the advantages of improving delivery convenience, guaranteeing recovery safety, realizing process automation and reducing operation cost.

A mobile device establishes an indirect network connection to a User Interface (UI) agent of a terminal. The indirect connection managed as a mobile navigational control session maintained through a server or through the server and a proxy. A keyboard widget / object and a navigation-selection widget / object are rendered within a mobile screen on a display of the mobile device. During the session, a user interacts with the keyboard and / or navigation-selection widgets and corresponding UI key events are forwarded to the UI agent. The UI agent provides the UI key events as Human Interface Device (HID) key events to the terminal causing a transaction interface to update transaction screens being rendered on a transaction display of the terminal during a transaction. The user conducts the transaction at the terminal without touching the transaction display and controls the transaction screens for the transaction via the keyboard and navigational widgets from the mobile device.

According to the calibration method of the vehicle-mounted integrated navigation mobile laser scanning measurement system, aiming at the problem of sparse point cloud density under a static observation condition, a multi-two-dimensional moving target optimization method is adopted to calibrate the laser scanner, and the optimal two dimension is fitted through a large number of observation points; a two-dimensional unit normal vector and a center point obtained through laser point cloud fitting are used for replacing a feature point coordinate in a traditional calibration method to serve as observed quantities, and an error model and a condition equation for solving a twiddle factor and a translation factor of the laser scanner and an internal parameter calibration method and an external parameter calibration method of an area array CCD camera are given respectively. Meanwhile, the point measurement error of the laser scanner is considered during two-dimensional fitting; for a vehicle-mounted mobile navigation measurement system installed in a non-parallel structure, a convenient calibration field is established, calibration data are synchronously acquired in an extremely short time, integrated calibration and point cloud and image data fusion of multiple sensors are realized, and the accuracy and practicability of calibration are verified through test data.

The invention provides a robot ICU autonomous movement cruise path planning method, and relates to the technical field of path planning. The method comprises the steps of obtaining a critical patient label, a task identifier and an intervention record in an ICU disaster scene, extracting a task time sequence and analyzing frequency characteristics, screening a passing section and matching a time window, identifying equipment overlapping and job cross conflicts, extracting residual tasks to generate a scheduling sequence, and rearranging path node fusion task levels. A cruise path segment sequence is generated. According to the method, the scheduling sequence is constructed based on the task retention state by extracting the task time feature and the space state, generating the priority task point, screening the passable path, adapting to the ICU bed density and path compression state in the disaster scene, identifying the resource conflict in combination with the equipment use record and the node space relationship, and avoiding the task overlapping; the path adjustment efficiency is improved, and the coping ability of the robot to the sudden task and the path execution continuity are enhanced.

The application discloses a mobile navigation beacon convenient to deploy. It comprises a lower pole body and an upper pole body fixed on the upper end of the lower pole body, the lower pole body is a hollow structure, and a float is fixed on the outer side of the upper end of the lower pole body, an inside of the float is provided with a winding drum and a pulley assembly, the winding drum is provided with a traction rope, the upper end of the lower pole body is provided with an opening, the outer end of the traction rope is arranged around the pulley assembly, the outer end of the traction rope is arranged into the lower pole body from the opening and is arranged out of the lower end of the lower pole body, the outer end of the traction rope is fixedly connected with a magnet, and the upper end of the upper pole body is fixed with an AIS position reporting terminal. The magnet is used for fixing the traction rope on a sunken ship, the float is arranged to keep a floating state, the AIS position reporting terminal is kept on the upper side of the sunken ship, the position of the sunken ship is collected and sent, and the position early warning of the sunken ship is realized.

• An electronic feature of a vehicle / aircraft / ship is patented to transmit the current battery level / energy source status - also called SOC - for all external devices such as smartphones, mobile navigation and / or tablet / portable PCs or notebooks via existing Bluetooth / WiFi / USB / NFC or other interface of the vehicle / aircraft / ship (* will be abbreviated as FFS below), to synchronize it and at defined intervals and / or permanently to calculate the optimal charging route or charging stops on external devices mentioned above or for the apps / programs or all software that can use this SOC signal to calculate the charging points or charging route of the FFS based on the current charge level of their battery or power source for example for hybrid or hydrogen vehicles. • All external devices and / or software use manual methods to determine the current power source status of the vehicle / aircraft / ship, such as manually specifying the percentage or state of charge, using a slider, or other "offline" and manually transferable methods to define it. This only occurs sporadically and does not take into account changes in the FFS* state, such as lighting, acceleration, or other electrical and electronic devices that can immediately affect the FFS's power source status and range, without the software that calculates charging stops and charging routes noticing this without delay and immediately updating the charging route. • Constantly up-to-date information on the status of an FFS's power source enables a reliable and always optimal charging route for the vehicle / aircraft / ship, without manual intervention and readjustment of the latter by the driver or passengers, which poses an additional high risk for surrounding road users due to the high level of distraction. Particularly in cases of sparse charging infrastructure, where there are not enough charging stations or facilities to meet user needs, this invention proves to be a very useful and customer-effective method for determining an optimal charging route and avoiding breakdowns and the subsequent additional effort and costs due to depleted energy sources and charging points that are not within available range.

A mobile device establishes an indirect network connection to a User Interface (UI) agent of a terminal. The indirect connection managed as a mobile navigational control session maintained through a server or through the server and a proxy. A keyboard widget / object and a navigation-selection widget / object are rendered within a mobile screen on a display of the mobile device. During the session, a user interacts with the keyboard and / or navigation-selection widgets and corresponding UI key events are forwarded to the UI agent. The UI agent provides the UI key events as Human Interface Device (HID) key events to the terminal causing a transaction interface to update transaction screens being rendered on a transaction display of the terminal during a transaction. The user conducts the transaction at the terminal without touching the transaction display and controls the transaction screens for the transaction via the keyboard and navigational widgets from the mobile device.

The utility model relates to a mobile intelligent sample storage system which comprises at least one host used for storing and taking biological samples; the at least one storage container is arranged outside the host and is used for low-temperature storage of biological samples; the mobile navigation assembly is arranged on the host and / or the storage container and is used for realizing free movement of the host and the storage container; the lifting butt joint assembly is arranged on the host and / or the storage container and used for achieving butt joint or separation of the host and the storage container. The mobile intelligent sample storage system provided by the utility model aims to overcome the defects in the prior art, and is high in automation degree and convenient to operate.

The present invention provides a method and system for generating terrain elevation maps based on radial basis function fitting, comprising: receiving historical point cloud information and odometer information, generating a local point cloud map, and downsampling; dynamically generating the center point of the RBF based on the downsampled local point cloud map and the ground fitting area; calculating a kernel matrix based on the downsampled local point cloud map and the center point, iteratively calculating the weight of the center point through GPU parallel acceleration, and generating a terrain manifold; and outputting an elevation map based on the terrain manifold through GPU parallel acceleration. The present invention significantly improves fitting speed, ensures real-time elevation map generation, and significantly increases map generation speed; retains static obstacle elevation information while updating dynamic obstacle elevation information, providing perception information for intelligent wheelchair movement, navigation, and obstacle avoidance; and can output elevation maps, gradient maps, and normal vector maps of arbitrary resolution.