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.

Provided is a method for managing a modular robot, including at least one module, using a user terminal, the method including: acquiring mount information on the at least one module mounted to the modular robot; receiving module information on a module corresponding to the mount information; and displaying at least one of the mount information and the module information. Also, provided are a user terminal for performing the method for managing a modular robot may be provided, and a non-volatile computer readable recording medium in which a computer program for performing the method for managing a modular robot.

An example system comprising a pressure sensor array, a proximity sensor comprising circuitry to sense an object approaching the pressure sensor array based on a change in a resonance frequency of the proximity sensor, and a controller to receive from the proximity sensor the sensed change in the resonance frequency and designate the pressure sensor array as active responsive to the sensed resonance frequency being below a threshold or inactive responsive to the sensed resonance frequency being above the threshold, wherein a data transmission rate of the active pressure sensor array is greater than a data transmission rate of the inactive pressure sensor array.

An automation server accesses a task for a robotic device. The automation server generates motor control commands for the robotic device to complete the task. The automation server transmits, via a network and in a format defined by an Application Program Interface (API), the motor control commands from the automation server to a fleet manager associated with the robotic device, the motor control commands for forwarding from the fleet manager to the robotic device. The automation server receives, from one or more sensors attached to the robotic device and via the network, robotic device sensor data. The automation server receives, from multiple remote sensors and via the network, remote sensor data. The automation server adjusts the generated motor control commands to complete the task based on the robotic device sensor data and the remote sensor data.

A role switching method of robots with similar appearance includes: at a robot, the robot being capable of communicating with other robots within a predetermined range: identifying other robots having the same appearance as the robot itself within the predetermined range; and performing role exchange with the other robots having the same appearance as the robot itself within the predetermined range.

A method for controlling an operation of an ultrasonic blade of an ultrasonic electromechanical system is disclosed. The method includes providing an ultrasonic electromechanical system comprising an ultrasonic transducer coupled to an ultrasonic blade via an ultrasonic waveguide; applying, by an energy source, a power level to the ultrasonic transducer; determining, by a control circuit coupled to a memory, a mechanical property of the ultrasonic electromechanical system; comparing, by the control circuit, the mechanical property with a reference mechanical property stored in the memory; and adjusting, by the control circuit, the power level applied to the ultrasonic transducer based on the comparison of the mechanical property with the reference mechanical property.

Provided is a robot system which includes: a robot; a controller controlling the robot and causing the robot to operate in a plurality of operation modes; and a display device attached on the robot and caused by the controller to operate in patterns in accordance with the operation modes, the patterns being different from one another. The display device includes: a sheet-like base part being deformable in a shape in accordance with an outer surface of the robot and having flexibility; one or more display parts fixed on the base part; and a fixture maintaining the base part in a state in which the base part is attached on the outer surface of the robot.

A flying object (drone) has a propeller drive unit provided in a fuselage thereof, and flies through the air by being driven by the propeller drive unit. The drone has a gravitational center movement device which is provided in the upper section of the fuselage and is capable of moving the total gravitational center position of the entire drone. The drone is equipped with a movement controller which moves the total gravitational center position to a target position by acquiring the total gravitational center position and controlling operation of the gravitational center movement device.

Disclosed embodiments provide techniques for virtual reality enabled activity allocation. A camera system monitors a physical environment from multiple angles, generating real-time video feeds of the physical environment. A real-time virtual reality environment (RTVRE) rendering system utilizes the real-time video feeds as input to create a virtual reality environment that is representative of the physical environment. A user performs an action in the virtual environment that corresponds to a task to be performed in the physical environment. A computer-implemented virtual reality control management system assesses the task and assigns the task to an electromechanical device that is best-suited to perform the task, based on a scoring algorithm. This enables actions such as remote monitoring and control of a premises. Thus, disclosed embodiments improve the technical field of remote monitoring and control of a premises.

A method and an apparatus for classifying an electroencephalogram signal, a device and a computer-readable storage medium. The method includes: obtaining an electroencephalogram signal; performing feature extraction on the electroencephalogram signal to obtain a signal feature corresponding to the electroencephalogram signal; obtaining a difference distribution ratio, the difference distribution ratio being used for representing impacts of difference distributions of different types on distributions of the signal feature and a source domain feature in a feature domain, the source domain feature being a feature corresponding to a source domain electroencephalogram signal; aligning the signal feature with the source domain feature according to the difference distribution ratio to obtain an aligned signal feature; and classifying the aligned signal feature to obtain a motor imagery type corresponding to the electroencephalogram signal.