4943 results about "Intelligent robots" patented technology

The invention discloses an intelligent robot inspection system and an intelligent robot inspection method for transformer station. The intelligent robot inspection system comprises a monitoring centre, which is connected to at least one station robot intelligent inspection system of a transformer station, and each station robot intelligent inspection system comprises at least one base station. At the same time, the transformer station is also provided with an environment acquisition subsystem inside and fixed point monitoring subsystems disposed at devices needed to be monitored in the transformer station. The intelligent inspection robot is provided with an intelligent inspection robot lower computer connected to a detection unit, the detection unit includes an infrared detection unit and an ultraviolet detection unit, and the ultraviolet detection unit includes an ultraviolet video server and an ultraviolet detection device. The intelligent robot inspection system and the intelligent robot inspection method have the advantages of optimized inspection path, excellent safety protection, high intelligent degree, all-time fault detection and seamless video monitor, thus providing brand new technology detection means and all-round safety guarantee for an intelligent transformer station.

A domestic multifunctional intelligent robot comprises a processing and control system and a plurality of functional subsystems, and the functional subsystems comprise the movement system, the data collection system and the communication system. The domestic multifunctional intelligent robot is characterized in that the movement system comprises a locating module and a driving module, the locating module is used for recognizing and locating the environment where the robot is located, and the driving module is used for controlling movement of the robot; the data collection system comprises a vision module, a voice module and a data collection module, the vision module comprises a camera used for collecting video images, and the voice module comprises a pickup used for collecting audio information; the communication system comprises a wireless communication module used for achieving telecommunication of the robot; the processing and control system comprises a processing module and a control module, the processing module is used for receiving data in the functional subsystems in real time and processing the data according to a preset algorithm, and the control module is used for issuing control instructions to all the functional subsystems based on the processing result to control the movement of the robot.

Universal Video Computer Vision Input Virtual Space Mouse-Keyboard Control Panel Robot has computer system use video vision camera sensors, logical vision sensor programming as trainable computer vision seeing objects movements X, Y, Z dimensions' definitions to recognize users commands by their Hands gestures and / or enhance symbols, colors objects combination actions to virtually input data, and commands to operate computer, and machines. The robot has automatically calibrated working space into Space Mouse Zone, Space Keyboard zone, and Hand-Sign Languages Zone between user and itself. The robot automatically translate the receiving coordination users' hand gesture actions combinations on the customizable puzzle-cell positions of working space and mapping to its software mapping lists for each of the puzzle-cell position definition and calibrate these user hand and / or body gestures' virtual space actions into entering data and commands to computer meaningful computer, machine, home appliances operations.

The invention discloses a large-sized workpiece welded intelligent robot device, relates to robot technology, in particular to the robot device based on visual control technology. The device consists of a robot body, a sensing system, a robot controller and a welding auxiliary mechanism. The welded robot is provided with nine moving shafts, including three macrographic moving translational moving shafts, three microscopic moving translational moving shafts and three rotating shafts. The robot body comprises a robot frame and a robot head which is arranged on a transverse arm of the robot frame, and the robot frame consists of the three macrographic moving translational moving shafts, namely a horizontal lead rail, an upright post and the transverse arm. The robot head consists of the three microscopic moving translational moving shafts, the three rotating shafts and a welding gun. The robot frame provides the large-scale three-dimensional movement of the robot; the precision of macrographic moving movement is compensated by the microscopic moving mechanisms of the robot head which also provides rotating freedom of motion. The robot device can meet the movement requirements of large scale and precise positioning for the welding operation of large-sized workpieces. Through the visual sensing technology and intelligent visual controlling technology, the device can improve the automatic welding quality and efficiency of the welded robot.

The invention belongs to crossing field of computer vision and intelligent robots and discloses a variational mechanism-based large-area indoor scene reconstruction method. The method comprises the following steps: step 1, acquiring calibration parameters of a camera, and building an aberration correcting model; step 2, building a camera position and gesture depiction and camera projection model; step 3, utilizing an SFM-based monocular SFM (Space Frequency Modulation) algorithm to realize camera position and gesture estimation; step 4, building a variational mechanism-based depth map estimation model, and performing solving on the model; and step 5, building a key frame selection mechanism to realize three-dimensional scene renewal. According to the invention, an RGB (Red Green Blue) camera is adopted to acquire environmental data, and a variational mechanism-based depth map generation method is proposed through utilizing a high-precision monocular positioning algorithm, so that quick large-area indoor three-dimensional scene reconstruction is realized, and problems of three-dimensional reconstruction algorithm cost and real-time performance are effectively solved.

The smart robotic lawn mowing system utilizes the ultrasonic and RF sensors installing on the mower base and stands to define the mowing region, to track the position of the robotic lawn mower base, and to control and monitor the mowing routs. The installed sensors form a network for the system to determine the relative distances in between stands and robotic lawn mower base, and therefore the mowing is done with a controlled manner. The sensors are coupled together, and users, based on the application of the invention, can define the mowing sequences of the mowing zones, the areas of the mowing zones, and the mowing routes. The control of the mower may be wireless and users are able to monitor and modify the settings with a computer, a cell phone, and a tablet through wireless network, a wifi, and an internet.

A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. MRAs cooperate, learn and interact with the environment. The system uses various AI technologies including genetic algorithms, genetic programming and evolving artificial neural networks to develop emergent dynamic behaviors. The collective behaviors of autonomous intelligent robotic agents are applied to numerous applications. The system uses hybrid control architectures. The system also develops dynamic coalitions of groups of autonomous MRAs for formation and reformation in order to perform complex tasks.

The invention discloses a method for the mixed customer services of intelligent robots and human beings. The method comprises the steps of S1, receiving the user information sent by a user terminal; S2, searching a database through triggering an intelligent robot based on the user information to obtain a search result; S3, judging whether the search result is correct or not based on an answer candidate method; on the condition that the search result is correct, returning the search result to the user terminal and getting back to the step S1; on the condition that the search result is not correct, triggering the human being-based service; giving a reply to a question based on the user information by the human being-based service and marking the replay as an effective answer; S4, recording the user information and the effective answer corresponding to the user information into the database by the intelligent robot. According to the technical scheme of the invention, questions are answered by the intelligent robot as much as possible. Meanwhile, based on a confident threshold, whether a question is forwarded to the human being-based service or not is intelligently judged. After the question is answered by the human being-based service, the intelligent robot automatically records the question and the answer into the database. Therefore, the self-learning of the intelligent robot database and the knowledge timely update are realized.

A defense method and device against intelligent bots using masqueraded virtual machine information are provided. The method includes performing global hooking on a virtual machine detection request transmitted by a process, determining, on the basis of pre-stored malicious process information, whether or not, the process transmitting the virtual machine detection request corresponds to a malicious process, and when the process is found to correspond to the malicious process as a result of the determination, determining that the process is generated by the intelligent bot, and returning the masqueraded virtual machine information to the process.

An intelligent object tracking and gestures sensing input device is operative to translate hand gestures of a user into data and commands for operating a computer or various machines. It is provided with video web cameras video vision camera, sensors. A logical vision sensor program in the device measures movements of the user's hand gesture into X, Y and Z dimension definitions. It defines a working space spaced therefrom into virtual space mouse zone, space keyboard zone, and hang sign language zone. It automatically translates the change of coordinates of the user's hand in puzzle cell positions in the virtual working space into the data and commands. Objects having enhance symbols, colors, shape, and illuminated lights are attachable on the user's hand to provide precision input.

The invention relates to a traffic control method and system based on an intersection group.The method comprises the steps that 1, 360-degree panoramic video of intersections is dynamically collected in real time through an intelligent robot, an intersection operation model is established according to video data, and traffic characteristics of the intersection group are analyzed according to the intersection operation model; 2, intersection index evaluation and online simulation analysis are conducted according to the traffic characteristics, and the traffic operation state of the intersection group is identified; 3, supersaturation state intersection signal timing control scheme optimization is conducted on critical paths of a supersaturation state intersection group, and a supersaturation state intersection group traffic signal control strategy is adjusted; 4, the adjusted intersection group traffic signal control strategy is operated, and steady-state operation of an intersection control signal timing optimization scheme and linkage command of the intelligent robot are achieved.By means of the traffic control method and system based on the intersection group, traffic efficiency and service level of intersection single point control can be improved, and therefore the operation efficiency of an urban traffic system is greatly improved, and urban traffic jams are relieved.

The invention includes the hardware devices composed of the pick-up head, the image interface and the processor, the time periodic image collection, the recognizing the direction of the person's eye gazing at as well as the non-contact intelligent control technique. In the said non-contact intelligent control technique, the direction of the person's eye gazing at is used as the control command or the auxiliary information. The invention can be applicable to home appliances, game machines, curing and nursing instruments or as the non-contact control devices for handicapped people etc. The gazing method can turn on or off some simple appliances such as air conditioners, 'waken' the robot or computer in the standby state. The gazing method also can indicate the user's intended control command.

The invention relates to a three-layer airborne flight control device for a micro four-rotor aerial vehicle, and belongs to the technical field of micro aerial vehicles. A navigation control layer consists of a navigation controller, an inertial measurement unit, a micro laser distance measuring sensor, a micro vision sensor and a wireless fidelity (WiFi) wireless network; an attitude control layer consists of an attitude controller, a gyroscope, an accelerometer, a magnetometer, a pressure sensor, an ultrasonic sensor, a remote controller and receiver unit and a ZigBee wireless communication unit; and a motor speed regulation control layer consists of four brushless motor speed regulators and four actuator units. The attitude controller is added, so that the whole flight device becomes intelligent, can perform autonomous navigation positioning, can avoid obstacles, is independent of manual operation of a remote controller, and becomes an intelligent robot in the real sense.

The invention discloses a PTAM improvement method based on ground characteristics of an intelligent robot. The PTAM improvement method based on ground characteristics of the intelligent robot comprises the steps that firstly, parameter correction is completed, wherein parameter correction includes parameter definition and camera correction; secondly, current environment texture information is obtained by means of a camera, a four-layer Gausses image pyramid is constructed, the characteristic information in a current image is extracted by means of the FAST corner detection algorithm, data relevance between corner characteristics is established, and then a pose estimation model is obtained; two key frames are obtained so as to erect the camera on the mobile robot at the initial map drawing stage; the mobile robot begins to move in the initializing process, corner information in the current scene is captured through the camera and association is established at the same time; after a three-dimensional sparse map is initialized, the key frames are updated, the sub-pixel precision mapping relation between characteristic points is established by means of an extreme line searching and block matching method, and accurate re-positioning of the camera is achieved based on the pose estimation model; finally, matched points are projected in the space, so that a three-dimensional map for the current overall environment is established.

The invention belongs to the crossing field of computer vision and intelligent robots, relates to an indoor three-dimensional scene rebuilding method based on a double-layer rectification method and solves the problems that an existing indoor scene rebuilding method is expensive in required equipment, high in computation complexity and poor in real-time performance. The indoor three-dimensional scene rebuilding method based on the double-layer rectification method comprises Kinect calibration, SURF feature point extraction and matching, mapping from a feature point pair to a three-dimensional space point pair, three dimensional space point double-layer rectification based on random sample consensus (RANSAC) and inductively coupled plasma (ICP) methods and scene updating. According to the indoor three-dimensional scene rebuilding method based on the double-layer rectification method, the Kinect is adopted to obtain environmental data, and the double-layer rectification method is provided based on the RANSAC and the ICP. Indoor three-dimensional scene rebuilding which is economical and rapid is achieved, and the real-time performance of rebuilding algorithm and the rebuilding precision are effectively improved. The indoor three-dimensional scene rebuilding method based on the double-layer rectification method is applicable to the service robot field and other computer vision fields which are relative to the three-dimensional scene rebuilding.

The invention discloses a combined navigation unit and an implementing method thereof. The unit comprises an MINS, a geomagnetic compass heading system, a GPS, and a CDMA mobile phone network positioning system. The method comprises that: a navigation computer synchronously receives navigation data of the GPS, dead reckoning data of the MINS, data of the CDMA mobile phone network positioning system and data of the geomagnetic compass heading system from four RS232 serial ports by utilizing a time synchronization module, and performs real-time and adaptive combined navigation according to the carrier-to-noise ratio of GPS signals and the quality of CDMA mobile phone network signals; and finally, the navigation computer displays the final navigation data in real time through a navigation data display module. The combined navigation unit has the advantages of small volume, low power consumption, low cost, complete functions, plenty interfaces, and capacity of completely meeting the requirements on medium and low-precision positioning and orientation of urban ground transportation, navigation, small intelligent robots and the like.

The invention relates to an intelligent robot. The intelligent robot comprises a man-machine interface module, a main controller, an environment monitoring module, a robot positioning module, a motor driving module, a vision module, a voice module, a data storage module, a wireless data transmission module and a power supply management module, wherein the man-machine interface module performs man-machine information exchange with a user and transmits the received data to the main controller; the environment monitoring module inputs the detected information to the main controller; the robot positioning module transmits external information to the main controller; the motor driving module is controlled by the main controller to perform servo control on a driving motor in the motor driving module; the vision module and the voice module transmits the acquired signals to the main controller; the main controller inputs various acquired signals into the data storage module and compares the signals with pre-called service data packets in the data storage module; the main controller controls the wireless data transmission module to perform information exchange with a server according to the preset fixed time; and the power supply management module supplies power to each module in the robot.

The invention provides an intelligent robot control system, method and device based on artificial intelligence. The system comprises a decision engine arranged on an intelligent robot and a cloud control center. The decision engine is used for generating cloud processing information according to multi-modal input signals received by the intelligent robot, sends the cloud processing information to the cloud control center for analysis to obtain user requirements, and controls the intelligent robot according to the user requirements and / or the multi-modal input signals. The cloud control center is used for receiving the cloud processing information, analyzes the cloud processing information to obtain user requirements and returns the user requirements to the decision engine. The intelligent robot control system can utilize on-line mass information fully and raise the storage and operation capability to process complex decisions, can response user instructions rapidly and intelligently in time, and raises the user experience.

The invention relates to an on-line question and answer method based on an intelligent robot, which is characterized by comprising the following steps: firstly, a dialogue window body is built between a user and the intelligent robot, and automatic greeting words are sent to a customer service side from a server side; afterwards, the user sends words to the server side, the server side identifies the semantics of the words of the user, combines a matched answer in a question and answer knowledge base, and sends an answer to the customer service side where the user is; after the question of the user is solved, the dialogue ends; finally, the user appraises the intelligent robot and fills in an opinion, and all dialogues during interaction between the user and the server side are recorded into logs. Therefore, the user can enjoy service in an all-weather and no-wait way within 24 hours, and questions encountered in the operation process can be solved by self-service question and answer. Meanwhile, the typewriting time of a customer service staff is saved, the dialogue efficiency is improved, the input of repetitive questions is avoided, the uniform management of common questions and answers is realized, and the intelligent on-line business consultation, business guidance, product sales and other service can be realized.

The invention provides a man-computer interaction method for an intelligent human skeleton tracking control robot on the basis of kinect. The man-computer interaction method includes the steps of detecting actions of an operator through a 3D depth sensor, obtaining data frames, converting the data frames into an image, splitting objects and background environments similar to a human body in the image, obtaining depth-of-field data, extracting human skeleton information, identifying different positions of the human body, building a 3D coordinate of joints of the human body, identifying rotation information of skeleton joints of the two hands of the human body, identifying which hand of the human body is triggered according to catching of changes of angles of the different skeleton joints, analyzing different action characteristics of the operator, using corresponding characters as control instructions which are sent to a robot of a lower computer, receiving and processing the characters through an AVR single-chip microcomputer master controller, controlling the robot of the lower computer to carry out corresponding actions, and achieving man-computer interaction of the intelligent human skeleton tracking control robot on the basis of the kinect. According to the method, restraints of traditional external equipment on man-computer interaction are eliminated, and natural man-computer interaction is achieved.

The invention discloses a full-function liquid medicine preparation intelligent robot and a medicine preparation method thereof. The full-function liquid medicine preparation intelligent robot comprises a shell, a medicine rack, a bottle taking mechanical arm, a liquid pumping mechanical arm, a bottle clamping mechanism and a liquid medicine shaking device, and is characterized in that: the shellis provided with an operating door with a seal; the medicine rack is arranged in the shell and corresponds to the operating door; the medicine rack has a rotary structure with more than two side faces; and each side face of the medicine rack is provided with accommodating areas for different medicines, and an indoor constant temperature and disinfecting cotton ball accommodating area. The intelligent robot has the property of full functions of preparing medical liquid, nutrient solution and chemical therapy medicines, radically changes the traditional mode of preparing cytotoxic medicines andthe manual preparation environment, has the characteristics of accurate liquid preparation, sterile preparation process and no cross-infection, protects the health safety of medical workers, avoids the leakage of the cytotoxic medicines, is environment-friendly, and saves cost of hospital medication and labor cost.

A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. MRAs cooperate, learn and interact with the environment. The system uses various AI technologies including genetic algorithms, genetic programming and evolving artificial neural networks to develop emergent dynamic behaviors. The collective behaviors of autonomous intelligent robotic agents are applied to numerous applications. The system uses hybrid control architectures. The system also develops dynamic coalitions of groups of autonomous MRAs for formation and reformation in order to perform complex task.

The invention belongs to the crossing field of computer vision and intelligent robot, and discloses a new multi-feature multi-sensor method for a mobile robot to track a moving body. The method comprises the following steps: 1, coarsely positioning a body carrying a passive tag around a radio frequency identification (RFID) system by using the RFID system; 2, initially positioning the body in an image by using an adaptive template matching algorithm based on head and shoulder features; 3, accurately positioning the body in the image by using a multi-feature-based mean-shift algorithm; 4, predicting the moving state of the body by using a extended Kalman filter algorithm; 5, screening the acquired target position information by using a double-layer collaboration positioning mechanism; and 6, controlling the robot to move along with the body by using a robot following control algorithm. By the method, bodies with different poses can be tracked, the problem that the tracking is influenced when a target suddenly turns and is shielded is solved, and the robot can accurately, stably and continuously track the moving body.

The intelligent fully automatic cooking robot involved in the present invention adopts the intelligent automatic control technology of mechanical and electrical integration, software and hardware combination, conducts intelligent automatic cooking based on microwave ovens and other stoves, and places multiple liquid and solid ingredient boxes and vegetable boxes on the panel , according to the prompts of the intelligent automatic cooking controller, after placing the prepared dishes, in the case of unattended, at any time according to the requirements of the person at the specified time for accurate and precise cooking, one intelligent automatic completion of one or more Cooking dishes, people can enjoy a delicious meal when they go home from work; the invention adopts the concept of a manipulator, which has a simple and efficient structure, small size, and is easy to use. Environmental protection requirements; used at home can save people a lot of time for cooking, so that people can live a higher quality of life or perform more creative work, and use it in commercial operations can reduce labor and save costs.

The invention discloses a raster map creating method for an intelligent robot. The raster map creating method comprises a step of drawing a working area boundary line, a step of marking boundary characteristic points and a step of creating a SLAM map. The raster map creating method for the intelligent robot is capable of visually expressing the understanding of the overall environment of the robot at some point, ensures that the aster map can be stored and managed easily, is suitable for the memory of the areas of the robot in the operation process and is also capable of providing a basis for the technical research on route planning, automatic returning and charging and the like of the robot.

The invention discloses an intelligent robot route planning method. The intelligent robot route planning method comprises steps of (1) dividing an operation space into a plurality of n-meter*m-meter rectangle virtual zones, (2) controlling the intelligent robot to transverse every virtual zone in an H-shaped movement, (3) constructing a grid map with distance information, angle information, collision information and obstacle information in a H-shaped movement of the intelligent robot, and marking a passing point, an obstacle point and a collision point, (3) realizing a map in real time, determining whether a whole operation space finishes traversing, if yes, entering the step (4), if no, returning to the step (2), and (4) controlling the intelligent robot to perform one time of an along-the-border behavior and marking the along-the-border behavior points on the constructed map. The intelligent robot route planning method can construct an effective grid map with errors in a controllable range according to the distance information, angle information, collision information and obstacle information of the robot behavior and realizes a low cost and efficient robot route planning.

The invention relates to a six-dimensional force sensor which comprises a sensor elastomer and resistance strain gages, wherein the sensor elastomer comprises a cylindrical shell and a crossed elasticbeam; the crossed elastic beam is positioned in the center in the shell and comprises a strain beam (1) and a loading platform (3); an upper base (6) and a lower base (10) are respectively positionedat both ends of the shell; force transmission columns (7) are positioned in the middle of the shell and connected with an upper elastic beam (4) and a lower elastic beam (8); a flexible beam (2) is positioned between the force transmission columns, and the inner side of the flexible beam (2) is connected with the strain beam. A sensor force sensing element comprises the upper elastic beam, the lower elastic beam and the strain beam, and 28 resistance strain gages are attached to the proper position on the force sensing element, wherein 24 strain gages form six groups of full-bridge detectingcircuits for realizing the acquisition of six-dimensional force information, and other four strain gages are reserved. The invention has the characteristics of compact structure, large rigidity, lessdimensional coupling, high precision and good dynamic performance and can be used for the research of an intelligent robot, automated detection and control, bionic motion analysis and sports research.

The invention discloses a ground obstacle detection method based on the binocular stereo vision of a robot, which belongs to the technical field of intelligent robots, and comprises the following steps that: according to the binocular baseline length and the focus, the ground parallax values of all rows in an image are analyzed through the geometrical configuration of the known image; based on the ground parallax values, a back projection model calculates the three-dimensional coordinates of a scene point corresponding to a pixel so as to initially judge whether the pixel belongs to an obstacle or a ground point; the obstacle and the ground point are respectively endowed with different colors; the results are post-processed and the false obstacle is removed; and three-dimensional errors are removed and a grid map is established. The method is applicable to various complicated indoor environments, can precisely identify various obstacles, has very high real-time performance, and provides very good preparation conditions for the robot to avoid obstacles.

The present invention relates to the technical field of intelligent robots, in particular to a self-moving ground treatment robot and cleaning work control method thereof. The control method specifically comprises the following steps: step S0, a robot walks at random; step S1, the robot continues to walk at random after hitting an obstacle; step S2, if a control unit determines that the linear distance between two consecutive hits is in a range between a first threshold and a second threshold, then starting to execute small area cleaning work; otherwise, returning to step S0. The self-moving ground treatment robot of the present invention comprises a functional component, a walking unit, a drive unit, an obstacle sensor, and a control unit; the control unit controls the functional component and the drive unit to work according to the above control method. The present invention is suitable for cleaning corners or narrow strip areas.