A robot is provided. The robot includes a camera, a driving unit, and a processor. The robot is configured to, if a plurality of users included in one group are identified in an image captured via the camera, acquire profile information of each of the plurality of users, based on the profile information, acquire group feature information including group type information of the group, priority information of the plurality of users, and preferred waypoint information of the one group, and control the driving unit to perform a route guidance function based on the group feature information and destination information.

A customer service robot autonomously moves to support shopping of a customer in a commercial facility including a plurality of stores. The customer service robot includes an action plan generating unit (a route setting unit) configured to set a store to be visited and a moving route in the commercial facility based on a store visiting purpose acquired from the customer and an operation control unit (a movement control unit) configured to cause the customer service robot to autonomously move along the moving route.

According to the present invention, a moving body capable of moving within a preset range of movement acquires an image from the environment surrounding the location of the moving body, and determines entry determination conditions for obtaining a result of an entry determination as to whether or not the moving body is allowed to enter a region identified by the location of the moving body and the image. A management terminal outputs the entry determination conditions and the image to an output device, and receives modification information relating to the entry determination conditions from an input device. A server uses the modification information received by the input device of the management terminal to perform learning, including updating of the entry determination conditions, thereby setting the movement range of the moving body, the movement of which is controlled in accordance with the entry determination result.

A mobile device is allowed to efficiently guide a guide target. A generation unit generates a travel instruction plan for a mobile device configured to guide a guide target, on the basis of environment map information on a facility in which the mobile device guides the guide target, mobility performance information on the mobile device, and current information and guide task information on the mobile device. For example, the generation unit decides on an area where the mobile device needs to guide the guide target, on the basis of the guide task information. Furthermore, for example, the generation unit decides on a mobile device that guides the guide target, so as to minimize a traveling time of the mobile device required for guiding the guide target around the decided area. Furthermore, for example, in a case where the mobile device configured to guide the guide target includes two or more mobile devices, the travel instruction plan includes travel instruction plans for respective ones of the two or more mobile devices.

Provided are a system and method for intelligently interpreting an exhibition scene. The system is configured for automatically following an interpretation user or a visitor by means of an intelligent following apparatus, so as to improve visiting experience of the visitor. The system includes a positioning apparatus and the intelligent following apparatus, the positioning apparatus is configured for determining positioning information of target users, and the intelligent following apparatus is configured for following the target users to move according to the positioning information of the target users.

A robot device includes: a sensor configured to generate sensing data related to an action of the robot device; a communication interface configured to communicate with a server; a memory storing instructions; and a processor configured to execute the instructions to: based on the action of the robot device changing, store action data in the memory, the action data including instruction data corresponding to the action, the sensing data related to the action, and map data related to the action, transmit, to the server via the communication interface, the action data stored in the memory, receive, from the server via the communication interface, threshold data corresponding to the action, and based on identifying that the sensing data is outside of a threshold range based on the threshold data received from the server, generate an event.

[Abstract] An information processing device and a method that efficiently create a guide route satisfying route conditions entered by a user are provided. A guide route creation unit is provided to create a guide route for guidance provided by a robot, the guide route being constituted of a plurality of nodes and paths connecting the nodes. The guide route creation unit retrieves node attributes such as a value, an evaluation value, a guidance time, and a guidance target that are set for the nodes respectively in a guidance route creation region, and path attributes such as a distance of each path and a moving time, and creates a guide route satisfying the route conditions entered by the user on a basis of the retrieved node attributes and path attributes.

Methods are disclosed that allow a robot, equipped with sensors and processors, to develop maps of its surroundings as it moves through a human environment, and to use these maps to detect and identify open doors, which it can then move through. Robots are disclosed to develop and use such maps to detect and identify open doors and move therethrough.

Techniques are disclosed to facilitate path planning safety guiding robots (SGR) for safely navigating and guiding humans through autonomous environments having other autonomous agents such as stationary and/or mobile robots.

Conventional robotic systems often fail to provide effective escorting services as they lack awareness of human motion dynamics. Present disclosure provides method and system for providing robot-based escorting service. The system tracks a user utilizing the robot-based escort service using a human re-identification technique and a human movement tracking technique. The human re-identification technique ensures that the same user is identified every time in crowded spaces and human movement tracking technique predicts a user state at intervals indicating whether user is following, lagging, or stopping based on re-identification performed by the human re-identification technique. Thereafter, the system adjust a speed of the robot in case it is determined that the user is either lagging or stopping, thereby enabling the robot to adapt its speed according to user's movements which further helps in providing seamless experience to user. The system also provides opportunities for interaction to resume escorting service if disrupted.