1494 results about "Service robot" patented technology

Autonomous personal service robot to monitor its owner for symptoms of distress and provide assistance. The system may include sensors to detect situations before they affect people such as smoke, heat, temperature and carbon monoxide sensors. The system can provide security for the home. The PRA may comprise features such as a medicine dispenser and blood pressure cuff. Features such as broadband internet, MP3 player, reading lights and eye glass tracker provide butler type capabilities that enable the system to appeal to markets beyond the elderly and infirmed. The system may also include an X10 transmitter / receiver to automatically control various household lights and appliances. Equipping the system with a robot arm enables the robot to fetch items, turn on and off wall switches and open the refrigerator.

The present invention is used for the complete and fully automatic examination of floor surfaces of all kind as well as for a particularly efficient suction of dust therefrom since the lower areas, the edges and the recessed can be detected. In each case, the robot is controlled so as to explore the adjacent area and to detect the potential obstacles using special sensors before storing them in a data field. The displacement towards a new location is then carried out using the stored data until the whole accessible surface has been covered. One of the main constituent members of the robot consists of an extensible arm that rests on the robot and on which contact and range sensors are arranged. When the robot is used as an automatic vacuum cleaner, an air flow is forced into the robot arm and the -cleaning effect can further be enhanced by providing one or more Circular rotary brushes at the front end of the arm. This invention can essentially be used for domestic or industrial Cleaning purposed with a view to replace traditional vacuum cleaners.

This invention relates to a robot system capable of completing different kinds of kitcheneering affairs automatically by timing. the robot system comprise automatic multifunctional intellectualized subsystem integrated with washing vegetable, dishes, sterilization, storage and perservation; automatic multifunctional vegetable cutter subsystem; automatic intellectualized cooking and compounding subsystem and oil fume pumping system; automatic cooking subsystem; automatic rice cooking subsystem; intellectualized automatic cooking digital menu software controls subsystem. The system establishes an only recognition coding, specifically to a robot system applicable for common household kitchen, restaurant kitchen, logistics kitchen, and automatic snack service. The invention can save time spent on cooking affairs, reduce labor cost, save a great deal of social resource and money spent on cooking affair.

The invention discloses a service robot control platform system and a multimode intelligent interaction and intelligent behavior realizing method thereof. The service robot control platform system comprises a voice control module, a binocular image acquisition module, an RFID (Radio Frequency Identification Device) receiving and transmitting module, a bottom wheel movement module, an obstacle avoidance module and a mechanical arm control module. The multimode intelligent interaction and intelligent behavior realizing method comprises the following steps of: 1, voice interaction; 2, independent navigation and location; 3, mechanical arm control; and face detection and recognition. According to the invention, a robot carries out intelligent interaction and intelligent behaviors, and the capacity of intelligent grabbing of the robot is enhanced. Except for special person recognition, distinguish of a picture face and an actual face is added, thus the influence to a program by the picture face is effectively eliminated. According to the invention, anthropomorphic mechanical arm grabbing is controlled in a specific anthropomorphic path grabbing manner, so that a service mode of the robot is more intelligent and humanized.

The invention belongs to the technical field of robot navigation and relates to a service robot autonomous navigation method based on raster maps. According to the method, the information of the environment where a robot is located is acquired in real time through 2D laser radar, environment feature extraction is conducted, raster map establishment is conducted according to the acquired information by means of the SLAM technique, autonomous positioning is conducted on the robot in real time at the same time, path planning is conducted on the robot according to navigation task requirements on this basis, and then tracking control is conducted according to the planned path to enable the robot to accomplish the navigation task. Compared with the prior art, the method has the advantages that three key techniques in navigation are improved so that the method can meet actual requirements of service robot navigation better, and then the optimal feasible scheme is obtained; environment information is processed in real time to generate dynamic maps, and then autonomous navigation is achieved effectively, and navigation accuracy and efficiency are improved greatly.

The invention discloses a binocular vision-based robot target identifying and gripping system and method. The binocular vision-based robot target identifying and gripping system comprises a binocular image acquisition module, an RFID (Radio Frequency Identification) transceiving module, a chassis movement module, an obstacle avoidance module and a mechanical arm control module. The binocular vision-based robot target identifying and gripping method comprises the following steps of: (1) calibration of a binocular camera; (2) erection and conversion of a coordinate system; (3) target identification and location; (4) autonomous navigation and obstacle avoidance; and (5) control over mechanical arms for gripping a target object. According to the invention, a robot can be intelligently interactive with the environment, and the intelligent gripping capability of the robot is enhanced. According to the binocular vision-based robot target identifying and gripping system and method, except for identification and location to the target object, a navigation database is also established, and the robot can automatically reach an area where the object is located after the target object is positioned; and the binocular vision-based robot target identifying and gripping system and method ensures that a service mode of the robot is more intelligentized and humanized by controlling the human-simulated mechanical arms and adopting a specific personified path gripping manner.

The invention relates to the technical field of smart monitoring, in particular to a smart home monitoring system based on a home service robot. The smart home monitoring system comprises a remote monitoring terminal, a wireless sensing control device and the home service robot. The remote control terminal is in communication with the home service robot through a network and controls the home service robot to conduct all-dimensional video monitoring. The wireless sensing control device is in interaction with the home service robot and is in charge of monitoring and collecting various home environment data and reporting the data to the remote monitoring terminal. The home service robot comprises a core control device, a chassis moving device and a sensing execution device, and the core control device is connected with the chassis moving device and the sensing execution device respectively through CAN buses to acquire the moving state of the robot, sense outside environment information, control moving of the chassis moving device, and control and monitor home appliances. Through the home service robot, regular inspection to the home environment and targeted monitoring over an abnormal target area are achieved, and remote monitoring is achieved.

The invention discloses a device for realizing simultaneous positioning and map building of an indoor service robot and the indoor service robot with the device. The device comprises an external sensor, an internal sensor and an information processing module, wherein the robot moves in an external environment, the measured data of the external sensor and the internal sensor is recorded, and the characteristics of the environment are extracted, so a posture and a characteristic map of the robot are obtained by recursive prediction and an updating algorithm; and the corresponding posture and characteristic map are updated under the condition of meeting the characteristic matching. By placing the moving robot in an unknown environment and combining the positioning and the map building into a whole, the device allows the robot to incrementally build a continuous map of the unknown environment and simultaneously determine the position in the map thereof; and thus the one-time working efficiency is effectively improved, the autonomy of the self-moving indoor service robot is improved and the intelligence level of the robot is further prominent.

A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

The invention relates to a multifunctional home service robot. The multifunctional home service robot is characterized by comprising an intelligent control system, a mechanical structure and a remote control terminal, wherein the intelligent control system is installed on the mechanical structure, the remote control terminal can regulate and control the intelligent control system, and thus the mechanical structure is driven to execute corresponding commands. The multifunctional home service robot can carry out voice-image feedback and limb feedback according to human voice commands and meanwhile has the functions of dust removing, disinfecting, organic-matter decomposing, gas detecting, air purifying, self-navigation traveling, self-action charging and the like. All-dimensional camera shooting and projection entertainment can be controlled through an intelligent microcomputer. The multifunctional home service robot can be used for information storage and voice, text and image intelligent interaction. The multifunctional home service robot also has the functions of indoor security inspection under remote control, emergency alarming and the like.

The invention provides distributed cognitive technology for an intelligent emotional robot, which can be applied in the field of multi-channel human-computer interaction in service robots, household robots, and the like. In a human-computer interaction process, the multi-channel cognition for the environment and people is distributed so that the interaction is more harmonious and natural. The distributed cognitive technology comprises four parts, namely 1) a language comprehension module which endows a robot with an ability of understanding human language after the steps of word division, word gender labeling, key word acquisition, and the like; 2) a vision comprehension module which comprises related vision functions such as face detection, feature extraction, feature identification, human behavior comprehension, and the like; 3) an emotion cognition module which extracts related information in language, expression and touch, analyzes user emotion contained in the information, synthesizes a comparatively accurate emotion state, and makes the intelligent emotional robot cognize the current emotion of a user; and 4) a physical quantity cognition module which makes the robot understand the environment and self state as the basis of self adjustment.

The invention belongs to the field of robotics, and specifically relates to a small highly intellective household service robot. The robot is composed of moving / executing / sensing hardware module and intellective operating software module. The hardware module and software module set up a closed-loop control through visual information and other sensor information, have personification control characteristic, and can imitate the ability of human to complete task. The robot can supply service in complex home environment due to small size and power consumption. The invention physically separates complex intellective operating software functions with small moving / executing / sensing platform of household service robot and qualifies the robot with the abilities of machine vision, audition, highly intellective planning and function extension, which make the robot can complete highly intelli-gentification ground cleaning work; control many kinds of household appliances according to oral command of the host; and transport small household utensils such as compote, tea, slipper, and garbage can according to oral command.

The invention discloses an interactive learning system and interactive method based on an education service robot. The interactive learning system mainly comprises a core processor module, a voice processing module, a voice acquisition module, a voice playing module, an image processing module, an image acquisition module, a projection processing module, a motion control module, an environment sensing module, a motor driving module and a network communication module. The interactive method mainly comprises steps that the system acquires user faces and desktop image information in real time; the system records learning conditions of users in real time; and a network server end adopts a big data analysis method to establish a set of personalized learning guiding scheme for users and displays the personalized learning guiding scheme through voice responses, projection responses, rotation of the head of a robot, front, back, left and right movement of the robot, turning on of a body indication lamp of the robot, and the like when a user asks a question or interacts with the system. The beneficial effects of the invention are that the personalized learning guiding scheme can be provided for the user, so the user can easily grasp and improve learnt knowledge by using a proper method and self-learning and independent thinking abilities of the user can be exercised.

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 a multi-robot automatic locating method for a robot restaurant in the locating field, wherein, a multi-robot automatic locating system comprises a central server module for therobot restaurant, a plurality of service robot locating system modules and a wireless communication module. In the invention, the central server module for the robot restaurant is in charge of globallocation on all the service robots in the robot restaurant; meeting robots in the robot restaurant and waiter robots are provided with service robot locating systems which can determine self positioncombined with multiple locating modes; and all the service robot locating system modules in the robot restaurant can perform communication related to locating information with the central server module for the robot restaurant or other service robot locating systems by the wireless communication module. The system combines practical layout in the robot restaurant and realizes high-precision multi-robot automatic location by combining with multiple locating modes together; and the system can be also applied to other scenes such as an exhibition hall and the like.

The invention belongs to the field of intelligent mobile robots and discloses a mobile robot cascading type map creating method based on mixed characteristics. The mobile robot cascading type map creating method based on the mixed characteristics overcomes the defect of the creation of a signal map and solves the problem that a large amount of service information can not be supplied by single map creation. The method comprises the steps of acquiring laser data points, extracting geometrical characteristics and conducting characteristic matching, extracting SURF characteristic points and conducting matching, establishing a cascading type map and segregating a room. According to the mobile robot cascading type map creating method based on the mixed characteristics, a laser optical sensor is used for acquiring environmental data and extracting the geometrical characteristics, meanwhile, a visual sensor is used for extracting SURF characteristics, an overall topological graph is created, an undirected weighted graph is structured to achieve segmentation of the room, the defects that in a traditional topological map, geometric environment information contained in topological nodes is less and precise location cannot be achieved are effectively overcome, and abundant room information can be provided. The mobile robot cascading type map creating method based on the mixed characteristics is suitable for the field of service robots and other fields related to mobile robot map creation.

The invention relates to a service robot autonomous navigation method based on a deformable topological map in the technical field of robot navigation, which comprises the following steps: collecting the geography and physiognomy condition of an indoor and outdoor environment in which a robot is located in real time by a SLAM technology; extracting environmental characteristics; creating a topological map of collected information and establishing the needed different sizes of a topological point according to the posture change of the service robot in the foundation; taking the sizes as input amount to reconstruct the topological map; and generating a topological point self-adapting topological map conforming to the posture change of the mobile robot.

The invention discloses a man-machine conversation system applied to an advanced service robot. The man-machine conversation system is characterized in that a voice recognition module, a natural language understanding module, a background service processing module, a natural language generating module and a voice generating module are included and are respectively and independently connected with a conversation management module and used for bidirectional data transmission. The man-machine conversation system has the advantages that the advanced service robot can directly communicate with the human language, the influence caused by a traditional communication way on communication efficiency is avoided, the convenience of man-machine communication is greatly improved, and the aim that the service robot directly listens to human voice instructions is achieved.

The present invention relates to a system and method of selling goods or services, or collecting recycle refuse using mechanized mobile merchantry, comprising positioning, by self-propelling, at least one of a mechanized mobile merchantry within a geographical boundary, allowing interaction with consumers, and effectuating selling of goods or services, or collection of recycle refuse with consumers. Other exemplary embodiments can include signaling a mechanized mobile merchantry with a consumer's mobile device to direct the merchantry to self-propel to the consumer's location, and utilizing usage logs and algorithms to optimize functionality of a fleet of merchantry and reposition the merchantry, as necessary, within a geographical boundary, to increase sales and consumer convenience. The present invention also relates to a waste collection system with option to deliver new food and beverage items includes a customer service robot comprising a slave computer and one or more waste receptacles to collect waste material. The customer service robot includes at least one robotic arm having at least three degrees of motion to facilitate collection from, e.g., tables and the like. The customer service robot is also capable of interfacing with a recycling unit and a master computer to control disposal of the collected waste.

The invention discloses a restaurant service robot system, which comprises a control module, a travel module, an interaction module, a perception module, and an execution module, wherein the control module is in communication connection with the travel module, the interaction module, the perception module and the execution module respectively; the control module is used for analyzing and processing received information, perception information and information produced by the system, and controlling the execution module; the travel module is used for a robot body to move; the interaction module is used for providing an interaction platform; the perception module is used for perceiving external things; and the execution module is used for executing the operation according to a control instruction. The robot system adopts a mode that the execution module executes the operation according to the control instruction which is sent after the control module analyzes and processes the received information, the perception information and the information produced by the system, so the robot system can well finish the repeated, heavy and tedious work of catering industry, and achieve the aims of automation, intelligentization, employee reduction and convenient management of restaurant service.

The invention discloses a robot navigation method based on color coding identifiers, which comprises the following steps of: extracting a navigation identification line according to the acquired image data, and determining the path direction; identifying a breakpoint mark in front of the color coding identifier, and preparing to regulate the movement trail for the color coding identifier; and identifying a color coding block around a corner or other positions, and executing turning or other command. The invention further discloses a robot navigation system based on the color coding identifiers. The robot navigation system has a simple principle, strong expandability and good visual perception, and can complete the positioning and navigating tasks of an indoor service robot; the robot navigation system can be combined with other navigation systems, so the stability and practicability of the navigation system are improved; and the problems of weaker applicability to complicated environments, error navigation accumulation, large operand, mutual interfered sensors and the like in the current robot navigation field can be effectively solved.

The invention relates to an emotion robot system, in particular to a robot which can generate human-simulated facial expression and can interact with people. The emotion robot system is composed of a head part system of the robot with six facial expressions and a software platform which takes PC as a control center; the emotion robot detects the information of external environment by the equipment such as an infrared sensor, a mic, a camera and the like. The PC carries out emotive feature extraction by the collected information of the external environment, and then voice emotion is analyzed and the facial expression of human face is detected, and then the emotion expressed by the robot is determined. The emotion robot expresses the emotion by voice output, facial expression and body language. The PC sends out instructions to a singlechip by serial ports, and the singlechip drives the motor to move for generating the facial expression and the body language of the robot after receiving the instructions. The emotion robot system can be used for domestic service robots, guest-greeting robots, explication robots and the man-to-machine interaction research platform.

The invention discloses a human and artificial intelligence cooperative working service system and method. The human and artificial intelligence cooperative working service system comprises a robot cluster, a customer service seat end and a server; the robot cluster comprises more than one robots; and the server associates the customer service seat end with more than one robot. The robots are deployed in the use fields of clients and provide a business consultation service for the clients. The customer service seat end is deployed on a working computer of customer service personnel; and the customer service personnel connects with the server by using the customer service seat end so as to connect with the robots. According to the human and artificial intelligence cooperative working service system and method disclosed by the invention, in the aspects of human-computer interaction, environmental perception, motion control and the like, the service is provided in a mode that the customer service personnel and the serving robots cooperatively work; the defects generated when complex problems are handled by artificial intelligence are made up by the customer service personnel; the defect of memory ability of the customer service personnel is made up by artificial intelligence; and reusability of the customer service personnel is improved so as to provide a better service and promote user experience. Meanwhile, a use amount of the customer service personnel is saved for an enterprise so as to save cost.

In accordance with aspects of the present invention, a service robot, such as a robotic cleaner, can be configured to more effectively service an environment. The service robot can include one or more sensors that sense its location, the location of objects, or both, and can also include noise reduction elements. The service robot can determine that it is under a “furnishing” and implement a different servicing pattern.

The telescopic joint type robot for superhigh voltage live cleaning is used in cleaning. The robot has hand claw connected to small arm via the first joint, hand claw rotating oil cylinder with piston rod hinged to hand claw and cylinder hinged to small arm, small arm connected to the large arm via the second joint, small arm rotating oil cylinder with piston rod hinged to small arm and cylinder hinged to large arm, large arm fixed onto the rotary platform, rotary platform fixed onto movable carrier, automatic hydraulic leveling system and cradle head on the movable carrier and remotely controlled operating terminal for data exchange with central control system via radio communication. The present invention has less joints, simple structure, light weight and easy working and assembling, and may position ceramic insulator accurately.

The invention discloses a pedestrian-sensing obstacle avoidance method for a service robot based on deep reinforcement learning, and relates to the field of deep learning and service robot obstacle avoidance. In a training phase of the method, firstly, training data is generated by using an ORCA algorithm; then, an experimental scene is randomly generated, and an initialized reinforcement learningmodel is interacted with the environment to generate new training data to be merged into the original training data; finally, an SGD algorithm is used for training a network on the new training datato obtain a final network model. In an execution stage of the method, the state of the surrounding pedestrians is obtained by a laser radar, the predicted state is calculated according to the trainedmodel and the bonus function, and the action of obtaining the maximum reward is selected as the output and executed. The method has strong instantaneity and adaptability, in the pedestrian environment, the robot can comply with rules for pedestrians to walk on the right lines, an efficient, safe and natural path is planned, and the intelligence and sociality of the service robot are improved.

The invention discloses an intelligent scenic region service robot. The intelligent scenic region service robot is characterized by comprising a central control unit, a wireless communication unit, an execution unit, a payment transaction unit, a solar control unit, a power supply unit, a positioning unit, a detection unit, a movement unit, a human-computer interaction unit, an image identification unit and a storage unit. Services provided for tourists include the photo service, scenic region introduction, scenic spot inquiry, map navigation, companion search, interactive competitions, mobile phone charging, self-service beverages, ticket purchasing in a scenic region and contact with staff in the scenic region. Work finished for the staff in the scenic region includes scenic region public security, scenic region cleaning and scenic region information offering. A solar generating unit is installed on the intelligent scenic region service robot, clean energy is utilized, and environmental protection and high efficiency are achieved. The intelligent scenic region service robot can provide the services in a completely intelligent mode, and provide close and thoughtful services for the tourists in the scenic region, working pressure of the staff in the scenic region is reduced, and quality of scenic region services is improved.

A method for scheduling mowing tasks by a robotic mower is provided. An estimated height of grass cut by the robotic mower is determined for a predetermined number of past mowing tasks. The estimated height of grass cut is compared with a predicted height of grass in an operating environment for the robotic mower. Then, a mowing schedule for the robotic mower is adjusted by decreasing a time between mowing tasks in response to the estimated height of grass cut being greater than the predicted height of grass. Alternatively, the mowing schedule for the robotic mower is adjusted by increasing the time between mowing tasks in response to the estimated height of grass cut being less than the predicted height of grass.

The invention discloses an intelligent security service robot complex environment obstacle avoidance method and a security service robot. The method includes: S1: laser obstacle avoidance; The distance between the robot body and obstacles is marked as the coordinates on the map; S2: Ultrasonic obstacle avoidance; in the case that no obstacle is detected by the laser radar method, rely on the ultrasonic sensing method to assist in detecting obstacles and distance information, and realize obstacle avoidance ;S3: Infrared obstacle avoidance; if the infrared sensor detects that the distance between the chassis and the ground exceeds the preset threshold during the robot’s movement, it will avoid obstacles; S4: Collision obstacle avoidance; way to avoid obstacles. The above-mentioned obstacle avoidance method is implemented on the robot. The invention has the advantages of good controllability, more flexible movement, stable and reliable system performance, high obstacle avoidance precision and the like.

The invention discloses a postal service robot which is applied to a logistics company. The postal service robot is characterized by comprising apery limbs, a human-machine intercom system, a navigation system and a 3D (three-dimensional) vision system, which are respectively and independently connected with a data processing module and used for transmitting the data in a bi-directional manner. The postal service robot has the advantages that the automation for delivering mails can be realized, the manual delivery is changed to the automatic delivery of the robot, the unfavorable influence of multiple factors on the delivery quality can be avoided, the manpower of the logistics company is reduced, and the delivery efficiency is greatly improved.