Abstract: Provided is a robot including a microphone configured to acquire a sound signal corresponding to a sound generated near the robot, a camera, an output interface including at least one of a display configured to output a wake-up screen or a speaker configured to output a wake-up sound when the robot wakes up, and a processor configured to recognize whether the acquired sound includes a voice of a person, activate the camera when the sound includes a voice of a person, recognize whether a person is present in an image acquired by the activated camera, set a wake-up word recognition sensitivity based on a recognition result as to whether a person is present, and recognize whether a wake-up word is included voice data of a user acquired through the microphone based on the set wake-up word recognition sensitivity.

Abstract: A robot according to the present disclosure comprises: a microphone; a camera disposed to face a predetermined direction; and a processor configured to: inactivate driving of the camera and activate driving of the microphone, if a driving mode of the robot is set to a user monitoring mode; acquire a sound signal through the microphone; activate the driving of the camera based on an event estimated from the acquired sound signal; confirm the event from the image acquired through the camera; and control at least one constituent included in the robot to perform an operation based on the confirmed event.

Abstract: Disclosed is a method of controlling a robot, comprising: switching to a surrounding environment concentration mode according to a sound of surrounding environment in a display off mode; searching a user in the surrounding environment concentration mode and switching to a user concentration mode when the user is searched; switching to a user conversation mode from the user concentration mode according to a sound received from the user; and entering the display off mode again after passing through a play alone mode, when the user is not searched in the surrounding environment concentration mode. Accordingly, the robot can operate in an optimal mode according to the change of the surrounding environment by setting various modes of the robot.

Abstract: An artificial intelligence (AI) device, such as a robot, comprises: an output interface to output content in response to a request of a user; a camera to acquire an image of the user; a microphone to acquire a voice signal including a voice content uttered by the user; a processor to determine a characteristic of the user based on the content, the image, and/or the voice signal, and recognize the voice content through a voice recognition mode corresponding to the determined characteristic. The AI device may include a communication interface to forward the voice signal to a remote computer that identifies the characteristic and recognizes the voice content based on the characteristic. According to an embodiment, when an irregular voice is recognized from the acquired voice signal, the processor may recognize a regular voice corresponding to the irregular voice using an artificial intelligence-based learning model.

Abstract: A robot includes a display, a sensing unit including at least one sensor for detecting a physical stimulus, and a processor configured to detect the physical stimulus based on a sensing value acquired from the at least one sensor while an operation is performed, identify the physical stimulus based on the acquired sensing value, perform control to stop or terminate the operation based on the identified physical stimulus, and control the display to display a graphical user interface (GUI) corresponding to the identified physical stimulus.

Abstract: Disclosed is a method of controlling a robot, comprising: switching to a surrounding environment concentration mode according to a sound of surrounding environment in a display off mode; searching a user in the surrounding environment concentration mode and switching to a user concentration mode when the user is searched; switching to a user conversation mode from the user concentration mode according to a sound received from the user; and entering the display off mode again after passing through a play alone mode, when the user is not searched in the surrounding environment concentration mode. Accordingly, the robot can operate in an optimal mode according to the change of the surrounding environment by setting various modes of the robot.

Abstract: A robot includes a display, a sensing unit including at least one sensor for detecting a physical stimulus, and a processor configured to detect the physical stimulus based on a sensing value acquired from the at least one sensor while an operation is performed, identify the physical stimulus based on the acquired sensing value, perform control to stop or terminate the operation based on the identified physical stimulus, and control the display to display a graphical user interface (GUI) corresponding to the identified physical stimulus.

Abstract: The present disclosure provides an artificial-intelligence robot including a body having an internal accommodation space formed therein, a support part disposed below the body to support the body, a display configured to display an image, a head disposed on the body and having a front surface on which the display is disposed, a voice input unit including a plurality of microphones (MICs) receiving a voice signal, and a control unit configured to, upon receiving a payment command from a user, make a request for speech of a security code, receive speech data on the security code from the user, and perform user authentication by comparing the speech data with the security code and comparing the speech data with a stored voice of the user. Thus, it is possible to provide an artificial-intelligence robot that is more convenient to use by performing security authentication through a voice input.

Abstract: A robot according to the present disclosure comprises: a microphone; a camera disposed to face a predetermined direction; and a processor configured to: inactivate driving of the camera and activate driving of the microphone, if a driving mode of the robot is set to a user monitoring mode; acquire a sound signal through the microphone; activate the driving of the camera based on an event estimated from the acquired sound signal; confirm the event from the image acquired through the camera; and control at least one constituent included in the robot to perform an operation based on the confirmed event.

Abstract: Provided is a robot including a microphone configured to acquire a sound signal corresponding to a sound generated near the robot, a camera, an output interface including at least one of a display configured to output a wake-up screen or a speaker configured to output a wake-up sound when the robot wakes up, and a processor configured to recognize whether the acquired sound includes a voice of a person, activate the camera when the sound includes a voice of a person, recognize whether a person is present in an image acquired by the activated camera, set a wake-up word recognition sensitivity based on a recognition result as to whether a person is present, and recognize whether a wake-up word is included voice data of a user acquired through the microphone based on the set wake-up word recognition sensitivity.

Abstract: An artificial intelligence (AI) device, such as a robot, comprises: an output interface to output content in response to a request of a user; a camera to acquire an image of the user; a microphone to acquire a voice signal including a voice content uttered by the user; a processor to determine a characteristic of the user based on the content, the image, and/or the voice signal, and recognize the voice content through a voice recognition mode corresponding to the determined characteristic. The AI device may include a communication interface to forward the voice signal to a remote computer that identifies the characteristic and recognizes the voice content based on the characteristic. According to an embodiment, when an irregular voice is recognized from the acquired voice signal, the processor may recognize a regular voice corresponding to the irregular voice using an artificial intelligence-based learning model.