173 results about "Home robot" patented technology

An object detection system utilizing one or more thin, planar structured light patterns projected into a volume of interest, along with digital processing hardware and one or more electronic imagers looking into the volume of interest. Triangulation is used to determine the intersection of the structured light pattern with objects in the volume of interest. Applications include navigation and obstacle avoidance systems for autonomous vehicles (including agricultural vehicles and domestic robots), security systems, and pet training systems.

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.

An all-day domestic robot comprises a robot body, wherein the head of the top end of the robot body is provided with a camera and can emit light, electromagnetic wave sensors, infrared ray short sensors and CO2 and formaldehyde sensors are arranged in the front of and behind the robot body respectively, a smog sensor, a CO sensor, an infrared ray heat sensor, a dust sensor and a temperature and humidity sensor are arranged on the robot body left and right, and an ultrasonic nebulizer, a dehumidification cooler, an air purifier, a dust collector, a control circuit board, a touch display screen and a turning keyboard are arranged inside the robot body. The all-day domestic robot has the functions of dust collecting, dust removing, sweeping, disinfecting, organic-matter degrading, temperature and humidity sensing and regulating, detecting and cleaning of CO, CO2, formaldehyde and other poisonous gas, particulate matter sensing and removing, lighting, free travelling, action charging, infrared ray sensing, all-dimensional camera shooting, digital storage, language communication and the like, and the all-day domestic robot is controlled through an intelligent microcomputer, can perambulate indoor security and protection 24 hours, can conduct accurate identification, send site video and give an alarm when a fire disaster occurs and external articles invade, and is stable in performance, convenient to operate and high in work efficiency.

A combined anthropomorphic manipulator based on embedded marmem motor is composed of a palm consisting of front palm and back, three fingers consisting of the drive segment and the driven segment, which are made of marmem (or shape memory alloy-SMA) motor, and a controller. Said ESMAA comprises U-shaped or straight-line SMA wire embedded in the silicon rubber cylinder and curvature sensor.

A home robot controlled by a home server. When a user gives a voice command to the home robot, the home robot A/D converts the voice command and transmits the voice command to the home server. The home server interprets the voice command, generates a response control signal to the command, and by wireless transmission, transmits the response control signal to the home robot. A control unit in the home robot receives the response control signal, outputs the response control signal as one or more of a digital voice signal, motion control signal and an image signal. The digital voice signal is converted to an analog signal for reproduction through a speaker. A driving unit moves body components of the home robot in response to one or more of the motion control signals from the control unit. A display unit displays an image in response to the image signal.

The invention relates to intelligent equipment, belongs to the field of intelligent home equipment, and particularly relates to an intelligent home robot. The intelligent home robot comprises a data collecting module, an experience knowledge base, a man-machine interaction module and an intelligent control module. The intelligent home robot has the following advantages that many kinds of data collecting equipment are integrated so that the robot can adapt to the home environment; a mobile internet interface is integrated, and therefore remote intelligent control over the robot can be achieved; based on an ARM framework hardware platform, the equipment structure is simpler, and maintenance and use are convenient; based on an Android operation system, an application program can be developed and upgraded more conveniently.

The embodiment of the invention discloses a smart home robot and a smart home control method, and is applied to the technical field of smart home. The robot comprises a main control module, an environment monitoring module, a positioning navigation module, an obstacle avoidance module, a Z-wave wireless receiving and transmitting module, a motor, and universal wheels. The environment monitoring module is used for monitoring an indoor environment index. The main control module is used for controlling the Z-wave wireless receiving and transmitting module to transmit a control signal to a target household electric appliance corresponding to the change of an indoor environment index when the indoor environment index is not matched with a preset numerical range. The positioning navigation module is used for recording the movement track of the robot, and building an electronic map through a preset algorithm. The obstacle avoidance module is used for detecting whether there is an obstacle nearby the robot or not. The motor is used for driving the universal wheels to move into a preset control range of the target household electric appliance. According to the embodiment of the invention, the robot adjusts the working state of the target household electric appliance according to the indoor environment index, and improves the control intelligentization of the household electric appliance.

A home robot device includes a memory, a movement module, and a processor. The processor is configured to execute a motion based on specified motion execution information stored in the memory, obtain feedback information of a user, generate modified motion execution information by modifying at least a portion of the specified motion execution information based on the feedback information of the user, where the modified motion execution information includes a movement value of at least one joint unit of the home robot device or at least one support linked to the at least one joint unit selected from a probability model of the specified motion execution information, and execute a motion of the home robot device based on the modified motion execution information.

The present disclosure is directed to robotics, and more particularly to mobile robots capable of climbing stairs in a dynamically stable manner and operate in home environments with one or more of the following features or combinations thereof disclosed herein or in the Detailed Description below.

The invention discloses a robot integrated with an intelligent home system. The robot comprises a home service robot and is characterized by also comprising a wireless remote control terminal, wherein the home service robot and the wireless remote control terminal are both provided with a wireless transmitting and receiving unit, the wireless remote control terminal receives and stores each household appliance remote control signals through a wireless receiving unit, the home service robot receives control signals of a remote monitoring system and remote control signals of the wireless remote control terminal through a wireless receiving unit, and sends out control signals to the wireless remote control terminal through a wireless transmitting unit, and the wireless remote control terminal sends out control signals to each household appliance. The robot solves the problems that a home robot cannot control the household appliances, or the control process is very complicated, the independence and the intelligence cannot be realized, and the success rate is low. The invention provides the robot integrated with the intelligent home system, which has the advantages that the structure is simple, the use is convenient, and the control success rate is high.

The invention relates to the field of intelligent home robot, in particular to a method for judging the trappingof a cleaning robot. A gyroscope module, a universal wheel and a side wheel odometer areinstalled inside the robot, wherein the gyroscope module is used to calculate the rotation angle of the robot, the universal wheel is used to detect the current straight walk or turn of the robot, and the side wheel odometer is used to calculate the walking speed of the left and right wheels of the robot; the gyroscope module, the universal wheel and the side wheel odometer are electrically connected to a processor in the robot respectively, and the processor collects the data of the gyroscope module, the universal wheel and the side wheel odometer and calculates and analyzes the data; the method for judging the trapping of the cleaning robot mainly detects line speed and turning angle speed of the robot respectively through the gyroscope module, the universal wheel and the side wheel odometer in the robot, analyzes and calculates by the processor so as to judge whether the wheels on both sides of the robot are stuck or slipped seriously, the real-time judgment is good, and the judging process is simple, effective and easy to be achieved.

The invention discloses a robot indoor positioning and navigation method based on the 3D camera. The robot indoor positioning and navigation method includes arranging red, green and blue LED lights on the ceiling, and using the right angle of the ceiling as the coordinate origin, establishing the rectangular coordinate system, and using the robot through the 3D camera to scan the ceiling to obtain image information and analyzing and processing to achieve global positioning and navigation. The invention relates to a monocular vision positioning system in which the home robot obtains the depth information of the LED lights through the 3D camera, and finally obtains the global positioning and navigation of the robot through a series of analysis and calculation. Compared with the ordinary monocular vision positioning system, the system is provided with the 3D camera, and camera parameters are not easily affected but help the system faster robot positioning. In contrast to binocular vision positioning, costs are reduced, the relative algorithm is difficult, cumbersome calculation is omitted, and accuracy is higher.

The invention provides a method for controlling the working system of a domestic robot based on voice interaction, and the said working system includes a voice collection program module for detectingand collecting voice signals and a voice wake-up program module for providing a voice wake-up function according to the voice wake-up command; the method comprises the following steps: a domestic robot enters into a working state after the domestic robot is started, and in the working state, the said voice acquisition program module and the voice wake-up program module are all in a working state;when the domestic robot does not detect the voice interaction command within t time in the working state, the domestic robot enters into the sleep state, and the said voice acquisition program moduleenters the sleep state; when the domestic robot is in the sleep state and receives the wake-up command, the domestic robot returns to the working state. The invention is convenient to use, saving thesystem power consumption and ensuring the stable operation of the system.

The invention discloses an employee attendance checking method and device based on face recognition and an attendance checking management system. The method and the device are applied to the attendance checking management system for providing data service for a home-use robot. The system is concretely characterized in that the home-use robot positioned in a work place is driven for collecting theface image of a person; the face image collected by the home-use robot is obtained; the face image is recognized to obtain the face feature information of the face image; the identity information corresponding to the face feature information is used for performing attendance checking on the person. The home-use robot has the moving features, so that the face images in the work place can be collected at any time in any place on the moving basis; the recognition, matching and recording can be completed; the card swiping or fingerprint collection by employees to a fixed position is not needed; the attendance checking by the employees is convenient, so that the problem of inconvenience of the existing attendance checking mode is solved.

The invention discloses a remote control system for a household robot. The remote control system comprises a main controller, and a household appliance group control unit, a wireless terminal and an external control unit which are connected with the master controller; the input end of the master controller is connected with a detection unit, a photographic device and a voice device; the detection unit comprises a temperature sensor, a gas concentration detector, an illumination sensor, an infrared sensor and an electric quantity detection module; the output end of the master controller is connected with a mechanical motion unit for controlling the motion of the robot, a charging unit and a smoke alarm; the output end of the master controller is also connected with a sound box and a display unit. The remote control system can be used for judging whether the environment is safe and gives an alarm to the unsafety situation, can be used for carrying out remote real-time communication and control with a user, and is high in control reliability, high in working stability, long in service life, strong in practicability, good in using effect and convenient to popularize and use.

The invention discloses an intelligent home-based care system scheme. The system comprises a hardware facility system and a software service scheme. The hardware facility system is mainly composed ofa hardware facility system and a hardware facility system, a government department, an elderly care institution, a community elderly care family, a third-party enterprise and institution, a data management platform, a home robot, a safety monitoring device, a cloud server, a mobile phone APP, a smart home, a wearable device and the like are included, and the software service scheme is mainly composed of health guarding service, life entertainment service, financial insurance service and communication social service. According to the intelligent home-based care system scheme, based on the thought of people first, a decentralized mode is innovatively adopted, and people are assisted to realize efficient landing and supervision operation of home-based care through artificial intelligence anda big data background system, so that governments, old-age care institutions, community old-age care families and social enterprises supplement each other, and a sustainable and win-win ecological old-age care system is constructed together.

There is provided an apparatus and method for correcting location information of a mobile body and a computer-readable recording medium storing at least a computer program for controlling the apparatus. The apparatus for correcting the location information of the mobile body, the location information regarding at least one of a location and an azimuth angle of the mobile body, includes a beam generator generating at least one beam; and a location information correcting unit receiving measured location information, sensing the generated beam, and correcting the received measured location information using the sensed beam, wherein the location information correcting unit is installed in the mobile body. Therefore, it is possible to easily correct location information of a mobile body using beams and more accurately correct the location information without accumulating errors, differently from a conventional dead reckoning system. Also, it is possible to correct the location information without an artificial landmark, even at night, or when no lighting exists, since the location information is corrected using an infrared ray, and to more accurately correct the location information of a mobile body by increasing the number of the beams. Further, it is possible to flexibly provide a trade-off between the number of the beams and accuracy in correcting of the location information, and to allow the mobile body to sense beams and accurately correct its location information, when the mobile body is picked up and moved to a different location. Therefore, it is possible to accurately correct at least one of a location and an azimuth angle measured by the dead reckoning system, for example, in a home robot having a home base.

The invention discloses a robot walking obstacle avoidance method based on information fusion and environmental perception, which mainly solves the problem in the prior art that a robot is difficult to conduct obstacle-avoidance walking according to global information and environmental types. The robot walking obstacle avoidance method is implemented the steps of: 1, arranging various types of sensors at parts of a robot, and measuring distance information and inclination information; 2, judging a safety state of an environment where the robot locates and recognizing an environmental type by adopting an information fusion technology; 3, setting a fuzzy membership degree function according to the sensor and a distance measuring range; 4, calculating an obstacle avoidance direction and walking time according to multi-source distance information and the environmental type, and setting a walking speed; 6, and inputting the walking direction, time and speed into a robot power system, so as to conduct obstacle-avoidance walking. The robot walking obstacle avoidance method is based on the information fusion technology, performs fuzzy obstacle avoidance by combining with the specific environmental type, improves the flexibility and safety of the robot in obstacle-avoidance walking, and can be applied to the control of domestic robots.

The invention relates to a method for building a semantic map for a domestic robot. The method includes the following steps that: A, a two-dimension grid map of an indoor environment where the robot works is built; B, an RGD-D depth sensor is utilized to build a three-dimension map of the indoor environment where the robot moves; C, the types of furniture contacting a person are judged according to the behavior features of the person based on a wearable sensor; D, the built two-dimensional grid map and the three-dimensional map are fused, so that a three-dimensional indoor map can be built; and E, the types of the furniture in the indoor environment and the attributes of other markers are assigned into the three-dimensional indoor map, so that a three-dimensional indoor semantic map can be formed. According to the method of the invention, the types of the furniture in the indoor environment can be determined according to the movement of the person, and furniture information is added to the three-dimensional map, and therefore, the building of the three-dimensional indoor semantic map can be realized. The method has the advantages of structural simplicity, easiness in implementation, operational convenience and low cost.

A home robot controlled by a remote supercomputer. When a user gives a voice command to the home robot, the home robot A/D converts the voice command and transmits the converted command to the supercomputer through a home gateway and a communication network. A control unit in the supercomputer interprets the voice command. Service modules produce appropriate response commands based on the interpreted voice command. The response commands are transmitted to the home robot over a communication network A control unit in the home robot receives the response commands, and upon analysis thereof, controls one or more actions of the home robot by generating one or more of a digital voice signal, motion control signal and an image signal. The digital voice signal is converted to an analog signal for reproduction through a speaker. A driving unit moves body components of the home robot in response to one or more of the motion control signals from the control unit. A display unit displays an image in response to the image signal.