A communication robot includes: an operation part; and a communication arbitration unit configured to exhibit a robot mode for autonomously operating the operation part by applying a first operational criterion and an avatar mode for operating the operation part based on an operation instruction sent from a remote operator by applying a second operational criterion to arbitrate communication among three parties, that is, the robot mode, the avatar mode, and a service user.

A method of controlling a moving robot is provided. The method of controlling a moving robot includes the steps of: (a) performing a basic motion of the moving robot which moves on a rotating mop; (b) measuring the slip rate of the moving robot; and (c) controlling the travel of the moving robot.

The robot includes a storage unit and a control unit. The control unit acquires outside stimulus feature amounts that are feature amounts of an outside stimulus acting from outside, stores the acquired outside stimulus feature amounts in the storage unit as a history, compares outside stimulus feature amounts acquired at a certain timing with outside stimulus feature amounts stored in the storage unit to calculate a first similarity degree, and controls operations based on the calculated first similarity degree.

A building monitoring system includes a first sensor configured to detect a first condition in the space, a second sensor configured to detect a second condition in the space, and a robotic sentinel. The robotic sentinel includes a memory for storing one or more rules each configured to identify an alert condition for the space based on the first and/or second conditions in the space, a communications module configured to communicate with a remote device over a network, and a controller operatively coupled to the sensors, the memory, and the communications module. The controller is configured to apply the one or more rules to the first and second detected conditions in the space to identify one or more alert conditions and determine what action is required by the robotic sentinel, and if action is required, command the robotic sentinel to travel to a location of the alert condition.

The disclosure relates to an automatic working system, a self-moving device and a control method therefor. The automatic working system includes a self-moving device configured to automatically move and work in a working region set by a user, a magnetic strip configured to generate a magnetic signal. The self-moving device includes a boundary recognizing module configured to recognize a boundary of the working region, a magnetic induction module configured to induce the magnetic signal, a control module configured to control the self-moving device to move along the boundary according to the boundary recognized by the boundary recognizing module and control the self-moving device to move along the magnetic strip according to the magnetic signal if the magnetic induction module induces the magnetic signal in process of moving along the boundary.

Disclosed herein is a terminal including a communication transceiver configured to establish connection with a first action robot, an input interface configured to receive an execution request of a cluster control mode of an application, and a processor configured to search for at least one other action robot other than the first action robot through the communication transceiver in response to the received execution request, control the communication transceiver to attempt connection with the searched at least one other action robot, and control output of action robot content through the first action robot and the at least one other action robot according to execution of the cluster control mode, when connection with the at least one other action robot is established.

The present disclosure relates to an XR device and a method for controlling the same, and more particularly, is applicable to a 5G communication technology field, a robot technology field, an autonomous technology field and an artificial intelligence (AI) technology field. The method for controlling an XR device comprises executing an augmented reality (AR) assistant application in the XR device by a user, displaying a real space, which includes a first real object, on a screen of the XR device, detecting a state of the first real object, displaying at least one virtual object for identifying the state of the first real object on the real space of the screen by overlapping the at least one virtual object on the real space, and controlling the state of the first real object by using one or more second real objects of the real space.

A robotic system that can be used to treat a patient. The robotic system includes a mobile robot that has a camera. The mobile robot is controlled by a remote station that has a monitor. A physician can use the remote station to move the mobile robot into view of a patient. An image of the patient is transmitted from the robot camera to the remote station monitor. A medical personnel at the robot site can enter patient information into the system through a user interface. The patient information can be stored in a server. The physician can access the information from the remote station. The remote station may provide graphical user interfaces that display the patient information and provide both a medical tool and a patient management plan.

An interactive device for animals is provided that includes a main body, a driving module and a first rotating member. The main body includes an accommodating groove, an opening, and a communicating channel. The driving module is disposed on the main body. The first rotating member is rotatably disposed in the main body and separates the communicating channel and the accommodating groove. When the driving module drives the first rotating member to rotate in a first rotating direction, the first rotating member drives at least one object disposed in the accommodating groove to enter the communicating channel and leave the main body through the opening.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sharing learned information among robots. In some implementations, a robot obtains sensor data indicating characteristics of an object. The robot determines a classification for the object and generates an embedding for the object using a machine learning model stored by the robot. The robot stores the generated embedding and data indicating the classification for the object. The robot sends the generated embedding and the data indicating the classification to a server system. The robot receives, from the server system, an embedding generated by a second robot and a corresponding classification. The robot stores the received embedding and the corresponding classification in the local cache of the robot. The robot may then use the information in the cache to identify objects.