4935 results about "Intelligent robots" patented technology

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 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.

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.

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 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 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 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.

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 invention discloses a system and a method for welcoming a guest by an intelligent robot. The intelligent robot stores and classifies the information of registered personnel; the system for welcoming a guest by the intelligent robot is started up; the intelligent robot detects whether a person passes by the front or not, if no person passes by the front, the intelligent robot continuously detects, if a person passes by the front, the intelligent robot obtains the information of a face and compares the information of the face with the information of the registered personnel, then the intelligent robot judges whether the person is registered or not, if so, the intelligent robot counts the appearing times of the information of the face by adopting a corresponding guest welcoming measure, and otherwise, the intelligent robot registers the information of the face and counts the appearing times of the information of the face by adopting a corresponding guest welcoming measure. By adopting the technical scheme, the invention can utilize the intelligent robot to provide ceremonial service for the guest in a working environment, thereby greatly improving the automation and intellectualization degrees of the office space and the good and healthy company image.

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 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 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.