23902results about "Manipulator" patented technology

The invention discloses an intelligent robot spraying method based on a spraying system. Firstly, three-dimensional contour data of a workpiece are obtained through three-dimensional scanning equipment, a model is constructed, and key information is marked. And then according to the model, the workpiece material, the spraying requirement and the environment condition, a spraying path is planned through an intelligent algorithm, coating parameters are set, a robot executes spraying in sequence, and real-time monitoring is conducted through a high-precision position and a visual sensor in the process. After spraying is completed, the quality is detected through detection equipment, and when the requirements are not met, the computer system adjusts parameters according to deviation and directs the robot to conduct supplementary spraying or re-spraying. Whole-course data are recorded, and technological parameters and a path algorithm are optimized through statistical analysis. According to the method, high-precision, intelligent and efficient spraying is achieved, the method adapts to various workpiece and process requirements, the spraying quality and the production efficiency are improved, good adaptability and expandability are achieved, and intelligent development of industrial spraying is powerfully promoted.

A computer-implemented method when executed by data processing hardware of a legged robot causes the data processing hardware to perform operations including receiving sensor data corresponding to an area including at least a portion of a docking station. The operations include determining an estimated pose for the docking station based on an initial pose of the legged robot relative to the docking station. The operations include identifying one or more docking station features from the received sensor data. The operations include matching the one or more identified docking station features to one or more known docking station features. The operations include adjusting the estimated pose for the docking station to a corrected pose for the docking station based on an orientation of the one or more identified docking station features that match the one or more known docking station features.

To enable provision of appropriate action guidance to users.SOLUTION: An action control system disclosed herein comprises a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing. The processing unit, upon receipt of a disaster notification notifying of a predetermined disaster, collects disaster information related to the disaster notification, and acquires a result of the specific processing using an output of the sentence generation model that uses a text instructing presentation of action guidance as an action guideline in the collected disaster information.SELECTED DRAWING: Figure 2A

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a rear shell, and a frontal shell coupled to the rear shell to define a head volume between the frontal shell and the rear shell, and an electronics assembly with a display located in the head volume between the frontal shell and the rear shell. The frontal shell of the head housing assembly includes: a first arc length at a first location below the display, a second arc length at a second location aligned with a portion of the display, and wherein said second arc length is greater than the first arc length, and a third arc length at a third location above the display, and wherein said third arc length is greater than both the first arc length and the second arc length.

A method for detecting whether a robot is impacted. The method comprises: obtaining an observed speed value and an observed speed direction, and obtaining a predicted speed value at the current moment and a predicted speed direction at the current moment; calculating the absolute value of the difference between the observed speed value and the predicted speed value to obtain a Euclidean distance corresponding to the current speed change; and calculating the cosine value of the included angle between the observed speed direction and the predicted speed direction to obtain a cosine distance corresponding to the current speed change; when the Euclidean distance corresponding to the current speed change is greater than a preset Euclidean distance threshold and the cosine distance corresponding to the current speed change is smaller than a preset cosine distance threshold, using a target impact sensing network model to perform classification processing to obtain a first prediction probability that a robot is impacted at the current moment and a second prediction probability that the robot is impacted at the current moment; and when the first prediction probability that the robot is impacted at the current moment is greater than the second prediction probability that the robot is impacted at the current moment, determining that the robot is impacted. Also provided are a chip for detecting whether a robot is impacted, and a robot.

The invention relates to the technical field of man-machine interaction, in particular to a robot behavior mode dynamic adjustment method based on multi-mode perception, which comprises the following steps: S1, collecting a visual image, a voice signal and an environment parameter of a target scene in real time; s2, extracting each modal feature; s3, dynamically allocating weights, and generating a fusion feature vector; s4, identifying a current scene type and a user attribute; s5, matching a corresponding interaction mode from a preset strategy library based on the scene type and the user attribute identified in the step S4; and S6, executing the matched interaction mode in the S5, and updating the weight distribution rule according to the feedback data. According to the method, vision, voice and environment characteristics are fused through a multi-mode perception technology, the behavior mode of the robot is dynamically adjusted based on a self-adaptive weighted fusion algorithm, and the interaction strategy is optimized in combination with user feedback, so that the interaction accuracy and the intelligent level of the robot under different scenes and user attributes are improved.

To realize improvement of complicated task execution ability under unpredictable circumstance, understanding and execution of high-level abstract instructions, effective integration of multi-modal feedback, enhancement of ability to adapt itself to change of environment and uncertainty, efficient use of knowledge base, and securing expandability.SOLUTION: The present invention is directed to a robot control system which integrates a large-scale language model, retrieval-enhanced generation technique, a visual system, a force sense module, a voice recognition and synthesizing module, a multi-modal integration module, and a robot control system. A language processing component recognizes high-level instructions, and dynamically selects and adapts relevant examples from a knowledge base by using the retrieval-enhanced generation technique. The visual system generates a three-dimensional expression of an environment. The force sense module measures force of an end effector. The multi-modal integration module integrates information from different modalities to realize environment understanding and adaptive action generation. Thus, it is possible to adapt the system to execution of complicated tasks and change of the environment under an unpredictable environment.SELECTED DRAWING: None

The present disclosure provides a grinding robot for an inside wall of a small diameter pipe. The grinding robot includes a grinding device, a transmission device, and a driving device. By arranging the grinding robot into the above three portions, the overall bending pipe passability of the robot can be increased, which is convenient for the grinding robot to grind the small diameter pipe. A first gimbal and two second gimbals provided in the transmission device enable the grinding robot to flexibly pass through bends of the pipe, and enable a grinding driving force to be variably transmitted to the grinding device. When the grinding body rotates and contacts a pipe wall, a reaction force of the pipe wall on the grinding body is balanced by an adjusting spring adjustment force in a balance adjusting device and a self-weight of a grinding body.

The invention provides a comprehensive and intelligent mariculture net cage management and control system. The system integrates a multi-parameter sensor module, an underwater robot module, an underwater camera module, a central control module, a data storage and analysis module, an early warning module, a remote communication module and an automatic execution module. By monitoring multiple environmental parameters such as water temperature, salinity, dissolved oxygen and the like in real time and utilizing the underwater robot and the underwater camera to carry out autonomous inspection and fish behavior observation, the system can accurately master the culture environment condition. The AI algorithm and the intelligent model are combined, the system dynamically adjusts the bait casting amount, the oxygenation frequency and the net cage position, and the breeding benefits are effectively improved. Meanwhile, the early warning module carries out graded early warning on risk events such as typhoon and diseases, and the breeding safety is ensured. The remote communication and visual human-computer interface further enhances the remote monitoring and management capability of the system.

To enable appropriate response to a user input.SOLUTION: An action control system disclosed herein is configured to: input an instruction to inquire about a travel plan to a sentence generation model as a first prompt to generate a travel plan proposal; input an instruction to make a proxy reservation to the sentence generation model as a second prompt to generate a reservation plan proposal, input an instruction to inquire about items to bring on the travel to the sentence generation model as a third prompt to generate travel possession proposal; input an instruction to inquire about questions during travel to the sentence generation model as a fourth prompt to generate proposed answers; and acquire the generated travel plan proposal, reservation plan proposal, travel possession proposal, and proposed answers as a result of specific processing.SELECTED DRAWING: Figure 2A

The invention discloses an information interaction method for an intelligent robot with a body, and the method comprises the steps: S1, receiving the information which is transmitted by a user and comprises a task instruction, S2, carrying out the analysis of the information based on a context understanding module, so as to recognize the specific meaning and environment conditions of the task instruction, s3, operation corresponding to the specific meaning is executed, and execution parameters are adjusted in a specific environment to ensure that the task instruction is accurately implemented; according to the information interaction method of the intelligent robot with the body, environment perception and adaptive capacity are enhanced, various perception information such as vision, hearing and touch can be integrated, comprehensive perception of the environment is achieved, instruction understanding and execution accuracy is improved, the intelligent robot with the body can analyze complex user instructions more accurately, and user experience is improved. Through real-time multi-modal data fusion and decision optimization, the robot can realize real-time integration of different data sources in a highly dynamic scene, and the task execution efficiency and the user experience are improved.

The invention discloses a robot anthropomorphic interaction method based on multi-modal emotion recognition and customized portrait generation. The method comprises the following steps: S1, dynamically fusing multi-modal emotions; the method comprises the following steps: S1, synchronously acquiring voice, visual and text signals through a multi-source heterogeneous sensor, capturing a user voice stream by a high-fidelity microphone array, and extracting acoustic characteristics such as intonation and speed, S2, performing cross-modal reasoning; s3, synchronously generating contents; step S4: style migration; step S5, anthropomorphic voice and expression generation; according to the method, man-machine interaction emotion is analyzed and generated by utilizing a large language model and multi-modal information fusion, the singleness of interaction emotion and the deficiency of emotional sharing ability are avoided, a strong emotion interaction characteristic is achieved, the image of the robot is obtained through a generative technology and can be migrated to any image, the limitation that a specific image is independently made is broken through, and the interaction effect of the robot is improved. The advantage that one robot can be suitable for different scenes is achieved.

The present invention relates to a current signal-based method for evaluating the health state of an industrial robot. A current sensor is used to detect total life current data of each axis of an industrial robot, the data is preprocessed and arranged in time sequence, the arranged data is reconstructed, interference signals are removed, the reconstructed data is fed into a model for identifying health data and non-health data, the identified data is respectively fed into models for training, a degradation baseline and a fault baseline are acquired, and then the baselines are introduced into an online model to determine the health state of the industrial robot in real time. By means of the method of the present invention, the health state of an industrial robot can be detected in real time and an alarm is given, so that a field technician can grasp the operating state of the industrial robot conveniently and in a timely manner, thereby promoting the safe and smooth progress of an engineering project.

The invention provides a wheeled humanoid robot which comprises a wheeled chassis walking mechanism, a robot trunk mechanism is arranged above the wheeled chassis walking mechanism, a robot head mechanism is mounted on the robot trunk mechanism, and robot arm mechanisms are mounted on the two sides of the robot trunk mechanism. The end, away from the robot trunk mechanism, of each robot arm mechanism is provided with a clamping jaw. A robot lower limb waist mechanism is arranged between the robot trunk mechanism and the wheel type chassis walking mechanism, and the robot trunk mechanism and the wheel type chassis walking mechanism are connected through the robot lower limb waist mechanism. Through cooperative arrangement of all the structures and arrangement of the wheeled humanoid robot, the problem that in the prior art, a foot type humanoid robot is low in moving speed under the flat ground environment is effectively solved, the degree of freedom of the whole robot is high, the robot can adapt to various working environments, and popularization is facilitated.

Various systems and methods are described for obtaining compensation for tasks performed by a humanoid robot, where the humanoid robot is associated with a first party. The method includes a first party providing a humanoid robot for use in an operating location. The humanoid robot engaged in performing a plurality of tasks at the operating location. A third party compensates the first party with a specified amount of currency for a pre-determined time interval during which said humanoid robot has engaged in performing the plurality of tasks at the operating location.

The embodiment of the invention provides a humanoid robot flexible assembly method and system based on a thinking chain and a medium, and belongs to the technical field of natural language processing. According to the scheme, the assembly task instruction provided by the user is obtained, the assembly task instruction is subjected to task analysis through the thinking chain model, the weight of each word in the assembly task instruction is calculated through the attention mechanism in the analysis process, and the analysis target related to the current task is dynamically adjusted according to the weight; the task is decomposed into a plurality of subtasks layer by layer according to an analysis target, a task tree structure is obtained, the task tree structure is traversed to determine an assembly plan, the assembly plan comprises an execution arrangement sequence, task path planning and assembly action parameters, and the humanoid robot is controlled to execute assembly operation according to the assembly plan. The task information is automatically extracted by combining a hierarchical thinking chain and an attention mechanism and is converted into assembly operation, a clear execution plan is generated, and the flexibility of task analysis is improved.

The invention discloses a substation autonomous inspection and foreign matter cleaning cooperative control system and method, and belongs to the technical field of intelligent inspection and foreign matter cleaning. The system comprises a multi-modal detection module used for acquiring images, point clouds and multi-source sensing data and identifying foreign matter coordinates and visual features; the space positioning module is used for executing space registration to obtain a three-dimensional coordinate of the foreign body; the risk decision module fuses the multi-dimensional information and evaluates the foreign matter risk level; the cleaning execution module generates a cleaning path and execution parameters and issues the cleaning path and the execution parameters; and the inspection execution module plans inspection paths and actions based on the state and constraint conditions, and completes subsequent equipment inspection tasks. According to the scheme, the system realizes clear division of labor and accurate control in multiple stages of foreign matter identification, space positioning, risk assessment, cleaning instruction generation, polling after cleaning and the like, and the expansibility and the overall response efficiency of the system are improved, so that efficient, safe and stable execution of autonomous polling and foreign matter cleaning tasks of the transformer substation is guaranteed.

The invention discloses a robot anti-dynamic load system based on active damping and gyro stabilization, and the system comprises a disturbance monitoring unit which is used for monitoring key data in the operation process of a robot in real time, and the key data comprises the vibration frequency, amplitude, direction and angle of a chassis and key parts; the disturbance type judgment unit is used for analyzing the key data to obtain a current disturbance type; the compensation force execution unit is used for determining a current execution mode based on the disturbance type and controlling a corresponding actuator to perform compensation action according to the execution mode; and the dynamic adjustment unit is used for continuously adjusting a compensation strategy based on the disturbance monitoring key data so as to ensure that the robot stably operates in various complex scenes. The purposes of eliminating high-frequency small-amplitude vibration and counteracting low-frequency large-amplitude inclination are achieved by monitoring external vibration and dynamic inclination conditions in real time and combining cooperative control of double systems.

The invention relates to the technical field of robot decision making, and provides a robot multi-modal fusion autonomous decision making method and system based on a large language model.The method comprises the steps that a robot obtains multi-modal environment information through a visual sensor, a touch sensor, an auditory sensor and a laser radar which are carried by the robot; performing preliminary filtering and noise reduction processing on the original sensor data, and synchronously recording all the sensor data by timestamps; performing space-time semantic alignment on the preprocessed multi-modal data, mapping pixel coordinates of a target in a visual target coordinate quantization original image to a robot coordinate system, performing uncertainty evaluation on a multi-modal signal through a dynamic Bayesian network, and taking entropy or variance as an uncertainty quantitative evaluation index. According to the method, the information quality is improved from a data fusion source, accurate and reliable basic support is provided for subsequent decision making, and decision making errors caused by data deviation are greatly reduced.

A solar table mobile transport with sideshift capability is described that moves a solar table to a point of installation. The solar table mobile transport comprises multiple motors that allow movement within a three-dimensional coordinate system as well as provide angular controls of pitch, yaw and roll. Extended horizontal movement of the solar table is provided by a sideshift element that extends the solar table beyond an edge of a transport component of the solar table mobile transport.

A moving apparatus used in liquid, a cleaning device, and a cleaning device control method are disclosed. The moving apparatus used in liquid includes a forward portion, a rearward portion, and a mode switching member. The mode switching member is configured to perform a position-and-posture switching of the moving apparatus below or above a liquid surface. When the moving apparatus is located below the liquid surface, the moving apparatus entirely submerges below the liquid surface. When the moving apparatus is located above or on the liquid surface, the moving apparatus is at least partially exposed above the liquid surface. Through the above method, the present disclosure may realize the cleaning of a liquid environment in an all-round way.

The invention provides an intelligent inspection operation robot, which comprises a self-adaptive interaction assembly for collecting unstructured features in an inspection environment of the inspection operation robot in real time, converting continuous signals of the unstructured features into discrete interaction decision nodes, and generating an interaction parameter set capable of being iteratively optimized through a cross validation mechanism; the autonomous intention analysis component constructs a probabilistic decision-making program based on implicit features of an operator behavior track of the inspection operation robot, extracts a potential mode of an operation intention through nonlinear correlation analysis in combination with an interaction parameter set, and recognizes an interaction demand which is not clearly expressed; and the collaborative response component constructs a response decision mechanism with self-organizing characteristics, and jointly inputs an interaction parameter set and an interaction demand into the response decision mechanism by establishing a dynamic association rule between different interaction channels of the inspection operation robot and an operator to generate a composite interaction scheme. According to the method, the composite interaction scheme comprehensively considering multiple factors can be generated.

A cleaning robot cleans a cleaning region and has a housing, a drive unit for driving the cleaning robot in the cleaning region, a floor cleaning unit for cleaning a floor surface of the cleaning region, and a robot arm for moving objects and / or for cleaning a surface that is raised with respect to the floor surface. The robot arm is arranged on a housing front of the housing in a resting position. The clean robot further has a control unit for controlling the drive unit, the floor cleaning unit and the robot arm. The robot arm forms a bumper in the resting position.

A solar panel installation system comprising a solar panel presentation system comprising a solar panel dispensing hopper having a hopper enclosure; and a solar panel installation vehicle operable with the solar panel presentation system, and operable to support the solar panel dispensing hopper, and to maneuver about a solar panel support assembly comprising one or more solar panel retention systems which can be oriented transverse to a torque tube of the solar panel support assembly, wherein the installation vehicle is operable to position the solar panel dispensing hopper in an overhead position relative to the one or more solar panel retention systems, and to facilitate installation of a lead solar panel in an installed position in one of the one or more panel retention systems from the overhead position.

A body model representing a massage recipient of an automated massage that is provided via a robotic arm is received. A user input is received via a control object in a user interface. The user input is output where the user input is used to update the automated massage that is provided via the robotic arm. The body model, the control object associated with controlling the automated massage that is provided via the robotic arm, and massage information associated with the automated massage that is provided via the robotic arm are displayed via the user interface.

Certain aspects of the disclosure generally relate to devices, systems, applications, and / or objects of applications, and may be generally directed to artificial learning and / or use of artificial knowledge. Other aspects of the disclosure generally relate to consciousness, and may be generally directed to learning and / or implementing one or more purposes. One or more purposes may drive the use of artificial knowledge in implementing the one or more purposes. Therefore, in some aspects, a conscious device, system, application, and / or object of application may include one or more purposes and artificial knowledge so that the device, system, application, and / or object of application can act upon a world in implementing the one or more purposes. The disclosure also describes other functionalities.

A power transmission line crimped pipe detection system, and a method. The detection system comprises: a beam-type platform (25) and a detection robot (30). The beam-type platform (25) is connected to the detection robot (30) by means of a rope body and is arranged on a bundled conductor (23) to control the ascent and descent of the detection robot (30). The detection robot (30) comprises: a robot body (65), a rotating mechanism connected to the robot body (65), and a detection mechanism, the rotating mechanism being connected to the detection mechanism. The detection robot (30) is configured to change the relative position between the detection mechanism and the robot body (65) by means of the rotating mechanism, so as to perform balance control during processes of climbing up and down a line and during detection processes.

The invention relates to the technical field of robots, and discloses a robot nondestructive testing method and system based on artificial intelligence, and the method comprises the steps: obtaining multi-modal sensing data and motion state parameters; constructing a three-dimensional material feature model and analyzing to generate an initial defect feature evaluation model; loading material attributes and detection precision constraints to generate a comprehensive model, and combining motion parameter simulation to obtain path regulation and control data; training the dynamic defect prediction model to obtain a detection path correction model and generating initial detection parameters; obtaining dynamic correction simulation information based on the initial parameters and the like; constructing a multi-objective optimization model, and optimizing to obtain an optimal detection path parameter; and generating a safety detection probability by combining real-time model reasoning, and adjusting a detection strategy to realize dynamic path matching. The system comprises a data acquisition module, a feature modeling and analysis module, a comprehensive evaluation and simulation module and the like. The method improves the detection precision, efficiency and adaptability, and is suitable for nondestructive detection of complex targets.

The utility model discloses a ground supporting wheel type inspection robot for a wave-shaped guardrail. The inspection robot comprises a wave-shaped guide wheel mechanism, a driving wheel mechanism, a ground supporting wheel mechanism and a shell, the wave-shaped guide wheel mechanism is mounted to the shell, the wave-shaped guide wheel mechanism comprises at least one set of wave-shaped guide wheels, each wave-shaped guide wheel is provided with a wave-shaped profile matched with the wave-shaped structure of the wave-shaped guardrail, and each set of wave-shaped guide wheels is configured to roll along one wave-shaped structure of the wave-shaped guardrail; the driving wheel mechanism is mounted to the shell and comprises at least one walking driving wheel which is configured to be in contact with the rolling surface of the wave-shaped guardrail; the ground supporting wheel mechanism is mounted to the shell and comprises a plurality of ground supporting wheels; the inspection robot is configured to be driven by the driving wheel mechanism to walk along the wave-shaped guardrail; the inspection robot is installed on the wave-shaped guardrail in the mode that the inspection robot and the upper edge of the wave-shaped guardrail are arranged in a spaced mode. By means of the inspection robot, invasion and occupation of roads or construction areas are avoided.

The invention discloses a multi-modal fusion real-time environment monitoring visual robot system, and relates to the technical field of real-time vision. The system comprises a multi-mode sensing module, and is equipped with various sensors such as a binocular stereo camera and a laser radar to collect environment data. The heterogeneous data preprocessing unit cleans and downsamples data such as images and point clouds; the space-time alignment fusion module realizes multi-source data space-time registration and synchronization; the environment semantic understanding engine constructs an environment semantic graph through a multi-branch network in combination with an attention mechanism; the abnormal event detection unit identifies abnormity based on a historical data model; the path planning and decision-making module integrates multiple targets to generate an optimal path; the autonomous movement execution module controls the robot to move and operate; and the cloud cooperative control center supports model updating and remote intervention. According to the invention, through cooperative work of all the modules, full-process intelligentization of environment monitoring data acquisition, processing, analysis and decision making is realized.