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.

A robot system comprises a first robot which supports a suspending jig for suspending a workpiece, a second robot which supports a hand, and a control device which performs cooperative control for causing the first robot and the second robot to operate cooperatively. The hand grasps the workpiece at a portion which is lower than a mating portion of the workpiece. In the robot system, the control device performs cooperative control so that the workpiece is conveyed while a condition in which the hand grasps the article is maintained.

The embodiments relate to a distributed marsupial robotic system. The system includes a parent component having a sensor suite to obtain and process environment data via a parent pattern classification algorithm, and one or more child components each having a sensor suite to obtain and process environment data via a child pattern classification algorithm. Each sensor suite includes one or more sensor devices in communication with a processing unit and memory. Each child component is configured to dock to the parent component, and to separate from the parent component in response to a deployment signal. Each child component obtains environment data during separation. The parent component is configured to construct a map of the environment by receiving and integrating the data obtained by each child component.

An absolute robot-assisted positioning method is provided which can be performed by a facility. The method optimises an assembly task which has been created theoretically at a computer workstation and which is implemented in reality by the facility. The disclosed facility includes at least one robot, at least one measurement system and a computer, wherein the at least one measurement system monitors the at least one robot while the assembly task is being performed, and the robot and the measurement system are connected to each other via the computer.

A computer-implemented dynamic supporting base creation method that interacts with a three-dimensional (3D) printer that prints an object, the method including providing a physical support, via a first robotic gripper, for an object during three-dimensional (3D) printing using a printing head of the 3D printer and transferring the object to a second robotic gripper to provide a physical support at a different location on the object.

The system for making or breaking the riser includes a robotic system. The robotic system includes one or more robotic arms configured to be disposed on a spider deck, and one or more riser-connection manipulation tools each having a camera and being configured to manipulate a riser connection, the camera being configured to capture an image of an object, wherein each robotic arm is configured to couple to one riser-connection manipulation tool. Further the system for making or breaking the riser includes a control system. The control system includes a robot controller in communication with the one or more robotic arms and configured to control the one or more robotic arms. The system for making or breaking the riser is configured to analyze the image to determine the location and orientation of the object and transmit the location and orientation of the object to the robot controller.