A method for forming a group from a plurality of Bluetooth devices includes forming one subgroup with some of the plurality of Bluetooth devices; and, with respect to Bluetooth mediating devices that are at least some of the plurality of Bluetooth devices belonging to the subgroup, forming, by the Bluetooth mediating device, one lower subgroup having the subgroup as an upper subgroup thereof, together with the plurality of Bluetooth devices which do not yet belong to any subgroup.

A modular robot system includes N (N is an integer that is 2 or greater) cube-type unit robots, each of the N cube-type unit robots comprising: a housing in the shape of a regular hexahedron; a step motor installed in the housing; and a controller installed in the housing and for controlling the step motor. The housing has, on one surface thereof, a mounting groove in which a rotary body rotating by means of a rotating shaft of the step motor can be mounted, and, on the other surface of the housing, a connection groove in the same shape, so that by means of a connector to be mounted in the connection groove, connection to another cube-type unit robot is possible, and the housing has identification marks with different shapes from one another on the respective surfaces thereof.

Example implementations may relate a robot part including a processor, at least one sensor, and an interface providing wireless connectivity. The processor may determine that the robot part is removablly connected to a particular robotic system and may responsively obtain identification information to identify the particular robotic system. While the robot part is removablly connected to the particular robotic system, the processor may (i) transmit, to an external computing system, sensor data that the processor received from the at least one sensor and (ii) receive, from the external computing system, environment information (e.g., representing characteristics of an environment in which the particular robotic system is operating) based on interpretation of the sensor data. And based on the identification information and the environment information, the processor may generate a command that causes the particular robotic system to carry out a task in the environment.

A robotic post system includes one or more robotic posts having a processor and a memory. The robotic posts may include a manipulation arm and/or a swiveling and/or otherwise moveable trunk and/or base. Sensors provided on the robotic post enable the robotic post to rotate, tilt or move toward another robotic post to orient and secure a lockable band on one post with a lock on another post. A manipulation arm may grasp a lockable band and attach it to a lock, and either post may move away from the other to extend the length of a guide path.

The invention concerns a robotic arm (1) with at least two arm modules (41, 42) which are moveable relative to one another and at least one manually operable input module (11) for generating control signals for the control of the robotic arm (1) on the basis of a user input. Both arm modules (41, 42) have a first interface (38, 40) onto which the input module (11) can be selectively mounted.

The invention relates to a modular conveyor system, comprising multiple individual conveyor modules, wherein an individual conveyor module comprises at least one conveyor device, at least one power supply, at least one actuator for driving the conveyor device, an output unit for the control of the actuator and an integrated control unit, wherein the integrated control unit has a computing unit for processing information and a communications unit, and wherein the communications unit is designed to carry out the communication of the individual conveyor modules with a central control system, on the one hand, and/or the communication of the individual conveyor modules with one another, on the other hand, in such a way that the communication of the individual conveyor modules with one another is implemented at two logical communication levels. The invention further relates to a method for controlling modular conveyor systems.

An access control system for enabling access of an attendant to a customer account on a cloud application hosted on a cloud computing system includes a vision sensor coupled with the cloud computing system. The cloud computing system stores customer accounts, an access factorization rule, location-based endpoints, and a supervisor identifier. The system determines that the customer and attendant are at a first endpoint and determines a particular interaction between the attendant and the customer, then factorizes an access indicator and either permits access or denies access of the attendant to the customer account, and may form and send a message comprising a denial of access semantic to the supervisor.

The present disclosure relates to the field of modular robot control, and more particularly to a method for controlling a modular robot and a system thereof. The method includes the following steps: T1: providing a plurality of module units; T2: assembling the plurality of module units into an initial entity structure; T3: acquiring initial virtual configuration information of the initial entity structure; T4: generating an initial virtual configuration based on the initial virtual configuration information; T5: setting an action frame to generate preset action control information; and T6: transmitting the preset action control information to the modular robot which executes a motion according to the preset action control information.

A flux sensing system includes a memory and a processor in communication with the memory and at least one sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. Based on inputs from the at least one sensing device, the computing system is configured to determine an active servicing capability associated with a first semantic flux and/or a consumer interest associated with a second semantic flux and match the interest with the capability based on semantic drift inference.

An integrated intelligent system includes a first intelligent electronic device, a second intelligent electronic device, a transferable intelligent control device (TICD) and a cross product bus. The first intelligent electronic device performs a first function and the second intelligent electronic device performs a second function. The cross product bus couples the first intelligent electronic device to the transferable intelligent control device. The TICD partially controls behaviors of the intelligent electronic device by sending commands over the cross product bus to the first intelligent electronic device and the TICD partially controls behaviors of the second intelligent electronic device to perform the second function. The TICD is first attached to the first intelligent electronic device to partially control the behaviors of the first electronic device, then detached from the first electronic device, and then attached to the second intelligent electronic device to perform the second function.