A modular robot system is capable of being configured to allow a plurality of cube-shaped unit robots to be coupled to one another. The modular robot system has N cube-shaped unit robots (where N is an integer greater than 2), each cube-shaped unit robot including: a cube-shaped housing; a step motor located inside the housing; and a controller located inside the housing to control the step motor, wherein the housing has a mounting groove formed on one surface thereof to mount a rotary body rotating by a rotary shaft of the step motor thereon and connection grooves with the same shape as each other formed on the five surfaces thereof, so that through connectors mounted on the connection grooves, one cube-shaped unit robot is connectable to another cube-shaped unit robot.

A robotic system is integrated with one or more mobile computing devices. Physical configurations of individual components of the system in physical space, or agents, under control of a user or users, are duplicated in a representation in virtual space. Some degree of real-time parity is maintained between the physical and virtual spaces, so as to implement a virtual environment that mirrors the physical one. Events occurring within one environment can directly influence and bear consequence on the course of events occurring within the other environment. Elements of virtual space thereby become truly interdependent and unified on a peer footing with elements in physical space. In at least one embodiment, the system is implemented as an application in entertainment, such as the manifestation of a video game in physical space.

In an embodiment, a mobile robotic device includes a mobile base and a mounting column fixed to the mobile base. The robotic device further includes a seven-degree-of-freedom (7DOF) robotic arm, including a rotatable joint that enables rotation of the 7DOF robotic arm relative to the mounting column. The robotic device additionally includes a perception housing comprising at least one sensor, where the mounting column, the rotatable joint of the 7DOF arm, and the perception housing are arranged in a stacked tower such that the rotatable joint of the 7DOF arm is above the mounting column and below the perception housing.

A mobile robotic device includes a mobile base and a mast fixed relative to the mobile base. The mast includes a carved-out portion. The mobile robotic device further includes a three-dimensional (3D) lidar sensor mounted in the carved-out portion of the mast and fixed relative to the mast such that a vertical field of view of the 3D lidar sensor is angled downward toward an are in front of the mobile robotic device.

A mobile robotic device and a method for controlling the mobile robotic device to move are provided. The mobile robotic device includes: a body; a rotatable portion connected to the body and configured to support the body in a rotatable manner; and an operational portion which comprises at least two arms connected to the body and configured to support the body in a walkable manner. In operation, the mobile robotic device is switchable between a manipulation mode in which the rotatable portion supports the body in the rotatable manner and a locomotion mode in which the at least two arms support the body in the walkable manner.

A robotic system includes at least two Hardware Modules, each having at least one sensor for measuring an internal property, a communication unit, a data storage unit and an embedded controller. The embedded controller is configured to collect collected data including status data representing the current status of the Hardware Module; and operating data representing usage of the Hardware Module. At least part of the collected data is determined from sensor data, and the embedded controller is configured to store or transmit the collected data. The robotic system including a central computation and command unit configured to receive the collected data; and to control operation of the robotic system by controlling operation of at least one actuator of the at least two Hardware Modules.

Apparatus and methods for adaptively retooling robots include programmable adapters for detachably connecting at least one robotic peripheral to a robot, providing peripheral information associated with the robotic peripheral, and causing the robot to adaptively reconfigure based on the peripheral information.

A multi-operation unit integration device having scale expandability and includes a plurality of operation units each of which includes a movable unit; and an integration module. The integration module includes an operation timing unit that gives operation timings of the plurality of operation units based on an operation instruction input from an outside, and the operation unit includes: a plurality of operation learning units that generate a control signal given to the movable unit according to an operation timing signal from the operation timing unit of the integration module; drive means for driving the movable unit of the operation unit according to the control signal; and a sensor that detects a state quantity of the movable unit driven by the drive means. An autonomous learning type robot device is configured using the multi-operation unit integration device as a control portion.

A mobile robot includes a position distance calculation command transmission unit 1, a position distance calculation command transfer unit 2, a reply position distance calculation command transmission unit 3, a direction storage unit 4, a reply position distance calculation command transfer unit 5, a first head robot unit determination command transmission unit 6, a robot unit determination unit 7, a first movement unit 8, a second movement unit 9, a next head robot unit selection command transmission unit 10 and a second head robot unit determination command transmission unit 11, for example.

Apparatus and methods for adaptively retooling robots include programmable adapters for detachably connecting at least one robotic peripheral to a robot, providing peripheral information associated with the robotic peripheral, and causing the robot to adaptively reconfigure based on the peripheral information.