Abstract: Provided is a method for controlling a moving agent group platooning within a building, the method comprising: a sensing step in which a first moving agent among a plurality of moving agents senses an occurrence of a predetermined event during the plurality of moving agents are platooning, wherein the first moving agent leads the platooning of the plurality of moving agents; and a transferring step in which the first moving agent transfers a group control authority to a second moving agent among the plurality of moving agents, wherein the second moving agent just follows the first moving agent; wherein the second moving agent having the group control authority leads movement of remaining moving agents following the second moving agent.

Abstract: A system and a method for predicting a battery consumption of an electric vehicle are disclosed. The battery consumption prediction system of the electric vehicle predicts the battery consumption considering an overall state of the electric vehicle and an external environment of the electric vehicle. The battery consumption prediction system of the electric vehicle may be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: Disclosed herein is an intelligent robot cleaner. The intelligent robot cleaner primarily senses foreign matter sucked through a suction unit under the control of a control unit, and secondarily senses an article collected in a collection unit, if articles other than the foreign matter are sensed, thus allowing a use to recognize accurate information about the article collected in the collection unit and preventing valuables or small articles from being lost. The intelligent robot device may be associated with an artificial intelligence module, a unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: An intelligent robot cleaner setting a travel path based on a video learning includes a travel driver, a suction unit, an image acquisition unit, and a controller. The travel driver moves to an area to be cleaned along the travel path. The suction unit sucks foreign substances on the travel path. The image acquisition unit acquires an image on the travel path. The controller analyzes the image, decides whether an object is present on the travel path, classifies a type of the object, and sets a bypass travel path that avoids the object if the object is an avoidance object.

Abstract: An artificial intelligence apparatus for calibrating an output position of a display panel according to an embodiment includes a camera configured to capture an image displayed by the display panel; and a processor configured to: transmit a signal for outputting a position reference image to the display panel, receive, via the camera, a captured image for the display panel, calculate an output position offset for the display panel in a predetermined unit based on the position reference image and the captured image, determine an output position calibration value for the display panel using the calculated output position offset, and transmit the determined output position calibration value to the display panel.

Abstract: Disclosed is a massage apparatus. The massage apparatus includes a vibration array including a plurality of vibration devices, a driver configured to vibrate the plurality of vibration devices, and a processor configured to control the driver to generate a stimulus at a stimulus point between the plurality of vibration devices by simultaneously vibrating two or more vibration devices among the plurality of vibration devices.

Abstract: An electronic device according to an embodiment includes a first biometric sensor to detect first biometric information, a second biometric sensor to detect second biometric information, a security module to normalize a first decision score for the first biometric information and a second decision score for the second biometric information, generate a decision function model for combined matching of the normalized first and second decision scores, set a threshold score corresponding to a sensitivity level in the decision function model, and perform user authentication for the first and second biometric information based on the decision function model to which the threshold score is applied, and a controller configured to control an operation of the electronic device based on a result of the user authentication performed by the security module. According to the present invention, the electronic device may perform user authentication by an Internet of Things (IoT).

Abstract: Disclosed is a control system to control a robot. The control system to control the robot according to an aspect of the present disclosure includes a transceiver and a processor. The transceiver receives information of a user within each unit zone, wherein a plurality of robots is disposed in a zone. The processor is configured to determine a density for each respective unit zone from among the plurality of zones, determine an average density for each respective group zone from among the plurality of group zones based on the determined density, determine a priority for each group zone based on the respective determined average density, and control movements of one or more robots based on the determined priority, wherein the controlling of the movements is performed by extracting a feature from the user based on machine learning and setting the priority based on the extracted feature of the user.

Abstract: A robot for detecting a dangerous situation using artificial intelligence includes a memory configured to store a voice recognition model for inferring whether a current situation is the dangerous situation from voice data and an image recognition model for inferring whether the current situation is the dangerous situation from image data, and a processor configured to acquire one or more of the voice data or the image data and output a notification indicating the dangerous situation when the dangerous situation is detected from the voice data using the voice recognition model or when the dangerous situation is detected from the image data using the image recognition model.

Abstract: The present disclosure relates to an electronic device that is capable of multimodal biometric authentication and a method of controlling the electronic device.

Abstract: Disclosed is a method of controlling an intelligent electronic device including initiating implicit continuous authentication, obtaining sensor data from at least one sensor, classifying a security level of the intelligent electronic device into at least two states having different security on the basis of the sensor data, and determining an authentication period of the implicit continuous authentication according to the classified security level, wherein the at least one sensor is continuously activated on the basis of the determined authentication period.

Abstract: Disclosed herein is a travel method of an intelligent robot cleaner. According to the present disclosure, it is possible to minimize a cleaning travel path in a cleaning target region and thus reduce a cleaning time by accumulating a plus unit point when the cleaner travels along a plurality of cleaning travel paths, accumulating a minus unit point when the cleaner travels along an overlapped cleaning travel path among the plurality of cleaning travel paths, and determining a final cleaning travel path by learning the accumulated unit point. The intelligent robot cleaner can be associated with an artificial intelligence module, unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: An electronic device capable of performing multimodal biometric authentication, where a comparison group is first formed after performing a user authentication with low precision, and then a user authentication is performed with high precision using the formed comparison group, such that the precision of the user authentication and a speed of the user authentication can be both increased.

Abstract: An artificial intelligence server is disclosed. The artificial intelligence server, according to one embodiment of the present invention, comprises: a communication unit for communicating with a terminal of a user; and a processor for receiving, from the terminal, a video capturing a home appliance, acquiring a first characteristics vector by inputting image data separated from the video into an image categorization model, acquiring a second characteristics vector by inputting sound data separated from the video into a voice categorization model, acquiring a result value by inputting, into an abnormality categorization model, a data set derived by combining the first characteristics vector with the second characteristics vector, and transmitting, to the terminal, a malfunction type acquired on the basis of the result value.

Abstract: An artificial intelligence dishwasher including a dish rack on which dishes are arranged, a spray nozzle configured to spray washing water toward the dishes, a washing pump configured to feed washing water stored in a sump to the spray nozzle, a washing motor configured to drive the washing pump, a camera configured to capture the dish rack to obtain a dish arrangement image, and a processor configured to provide the dish arrangement image to a dish recognition model to obtain dish information included in the dish arrangement image, determine a washing cycle for the dishes based on the dish information, and control driving of the washing motor according to the determined washing cycle is provided. A dishwashing method is also provided.

Abstract: An in-vehicle complex biometric authentication system includes: a sensor to sense a driver's boarding of a vehicle; a controller to perform driver authentication based on biometric information sensed by multiple biometric sensors when driver's boarding in a vehicle is detected by the sensor, and to collect driver's identification information and driving habit information during operation of a vehicle when the driver authentication is succeeded; and a memory to store the identification information and driving habit information as implicit authentication information, wherein the controller further detects situation recognition information related to the implicit authentication information, after the driver authentication is succeeded, and determines whether to perform additional authentications based on the matching result of the detected situation recognition information with the implicit authentication information.

Abstract: The electronic device includes: a sensor unit configured to detect biometric information, a security module to extract a genuine score from the detected biometric information and generate a biometric authentication model, and perform user authentication based on feature points acquired from the detected biometric information and the biometric authentication, and a controller to control an operation of the electronic device based on a result of the user authentication, wherein the security module determines whether or not the biometric information used for the user authentication is biometric information acquired from a genuine user when the user authentication fails, and updates the biometric authentication model based on the genuine score extracted from the acquired biometric information. The present invention may provide an electronic device performing complex biometric authentication by using TOT (Internet of Things).

Abstract: A method of selecting a call connection device according to perception of surrounding conditions is disclosed. The method includes sensing an external electronic device paired with a user's portable device while waiting to receive a call, collecting first information on the paired external electronic device, recognizing at least one of first peripheral information recognizing surrounding conditions of the external electronic device and second peripheral information recognizing surrounding conditions of the portable device based on the collected first information, and learning the recognized first peripheral information or the recognized second peripheral information and recommending one of the portable device and the external electronic device suitable for surrounding conditions of the user based on a result of the learning to connect a call with the other party. Hence, the user can prevent the exposure of personal privacy by recommending the call connection device suitable for user's surroundings.

Abstract: Disclosed are an Intelligent electronic device and authentication method using message sent to intelligent electronic device.

Abstract: An artificial intelligence apparatus for calibrating a color of a display panel includes a camera configured to capture an image displayed by the display panel; and a processor configured to: transmit a signal for outputting a color reference image to the display panel, receive, via the camera, a captured image for the display panel, calculate a color offset for the display panel in a predetermined unit based on the color reference image and the captured image, determine an output color calibration value for the display panel using the calculated color offset, and transmit the determined output color calibration value to the display panel.