A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.

A robotic device for distributing designated items to designated persons, includes: a motion unit to autonomously move said robotic device; storage means including multiple compartments; an item dispenser to dispense items from said storage means; a memory module containing optical recognition scans and personal information of persons located within a premise, and substantive information of the designated items; optical recognition scanners; a control module in communication with the motion unit, the optical recognition scanners, the memory and the item dispenser. The control unit directs movement of the robotic device, directs the optical recognition scanners to scan persons, and compares images from the optical recognition scanners to optical recognitions in the memory. Upon identifying a person, the control unit searches personal information of the person and identifies designated items specified for that person, and then directs the item dispenser to dispense the designated item.

A method for designing a customized robot to perform a specified function begins by initially creating an electronic library of data about modules and accessories for a robot assembly. The library stores, for each module and accessory, at least firmware for operation and dimensions. Per robot, the method includes receiving a set of functions and requirements of the customized robot, generating design(s) for the customized robot by finding a set of modules or accessories which match at least one of its functions and requirements, based on information in the electronic library, performing a set of validation tests of each design against criteria, identifying the design(s) which passed the set of validation tests, and generating a list of modules and accessories of a selected design and a connection map for the selected design indicating how the modules and accessories are to be connected together to form the customized robot.

A robot according to an embodiment of the present disclosure includes a body which is provided with a battery therein, a head connected to a front or an upper side of the body, a mouth formed on one side of the head and include a fixed portion and a rotatable portion disposed below the fixed portion, a mouth driver configured to rotate the rotatable portion in a vertical direction, a biometric information sensor disposed inside the mouth and exposed to the outside during the lower rotation of the rotatable portion, and a processor configured to acquire health state information of a user through the biometric information sensor.

An autonomous companion mobile robot and system may complement the intelligence possessed by a user with machine learned intelligence to make a user's life more fulfilling. The robot and system includes a mobile robotic device and a mobile robotic docking station. Either or both of the mobile robotic device and the mobile robotic docking station may operate independently, as well as operating together as a team, as a system. The mobile robotic device may have an external form of a three-dimensional shape, a humanoid, a present or historical person, some fictional character, or some animal. The mobile robotic device and/or the mobile robotic docking station may each include a fog Internet of Things (IoT) gateway processor and a plurality of sensors and input/output devices. The autonomous companion mobile robot and system may collect data from and observe its users and offer suggestions, perform tasks, and present information to its users.

A feature acquiring section 100 obtains feature data of a target person. A matching degree deriving section 110 derives a matching degree between the feature data and feature data of a registered user stored in a feature amount database 120. An identifying section 130 determines that the target person is the registered user in a case where the matching degree is greater than or equal to a first threshold, and determines that the target person is not the registered user in a case where the matching degree is less than a second threshold smaller than the first threshold. An action management section 140 sets an action mode of an acting subject according to the matching degree.

Provided a robot for assisting hearing of a user, while minimizing an influence on the surroundings. The robot includes a speaker, a microphone configured to recognize a voice, a processor configured to acquire a position of a user's face when a hearing aid command is acquired on the basis of the voice recognized through the microphone, and a driving unit configured to cause the speaker to be moved toward the position of the user's face, wherein the processor acquires a sound which is a target of hearing aid, generates an assistant sound by amplifying a predetermined frequency band of the sound or converting the predetermined frequency band of the sound into a different frequency band, and outputs the assistant sound through the speaker.

Provided is an electronic device. The electronic device may include: a user interface; a processor operatively connected to the user interface; and a memory operatively connected to the processor, wherein the memory may store instructions that, when executed, cause the processor to control the electronic device to: receive an input via the user interface; determine a task including plural actions based on the input; execute a first action among the plural actions of the determined task; obtain context information related to the task while executing the first action; determine at least one first threshold associated with the first action based at least in part on the obtained context information; and determine the result of the first action based on the execution of the first action being completed based on the at least one first threshold.

Implementations set forth herein relate to a robotic computing device that can perform certain operations, such as communicating between users in a common space, according to certain preferences of the users. When interacting with a particular user, the robotic computing device can perform an operation at a preferred location relative to the particular user based on an express or implied preference of that particular user. For instance, certain types of operations can be performed at a first location within a room, and other types of operations can be performed at a second location within the room. When an operation involves following or guiding a user, parameters for driving the robotic computing device can be selected based on preferences of the user and/or a context in which the robotic computing device is interacting with the user (e.g., whether or not the context indicates some amount of urgency).

A module type home robot is provided. The module type home robot includes a device module coupling unit coupled to a device module, an input unit receiving a user input, an output unit outputting voice and images, a sensing unit sensing a user, and a control unit sensing a trigger signal, activating the device module or the output unit according to the sensed trigger signal, and controlling the module type home robot to perform an operation mapped to the sensed trigger signal. The trigger signal is a user proximity signal, a user voice signal, a user movement signal, a specific time sensing signal or an environment change sensing signal.