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 numerical control system 1 comprises a numerical control device 5 for generating a machine tool command signal and a robot command signal, and a robot control device 6 for controlling the operation of a robot 3 on the basis of the robot command signal. The numerical control device 5 includes a coordinate form information management unit 524 for managing coordinate information according to a designated coordinate format that is based on a numerical control program, and a robot command signal generation unit 525 for generating the robot command signal on the basis of said coordinate information and a robot numerical control program. The robot control device 6 acquires a coordinate value on each axis of control in the designated coordinate format when the designated coordinate format is configured or changed, and transmits the same to the numerical control device 5 The coordinate form information management unit 524 updates said coordinate information using the coordinate value transmitted from the robot control device 6.

Systems, methods, devices, and other techniques are described for planning motions of one or more robots to perform at least one specified task. In some implementations, a task to execute with a robotic system using a tool is identified. A partially constrained pose is identified for the tool that is to apply during execution of the task. A set of possible constraints for the unconstrained pose parameter are selected for each unconstrained pose parameter. The sets of possible constraints are evaluated for the unconstrained pose parameters with respect to one or more task execution criteria. A nominal pose is determined for the tool based on a result of evaluating the sets of possible constraints for the unconstrained pose parameters with respect to the one or more task execution criteria. The robotic system is then directed to execute the task, including positioning the tool according to the nominal pose.

Robotic process automation (RPA) systems with improved user access enable a user to interact with an RPA system by way of a communication platform. The communication platform can support text messaging and/or speech communication with a virtual agent that in turn is able to interface with an RPA system. In this way, a user of the communication platform is able to conveniently interact with the RPA system, such as in a conversational manner. By analyzing and interpreting the conversation, the user's intent or desire can be determined and then carried out by the RPA system. Thereafter, results from the RPA system can be formatted and returned to the user. In one embodiment, to better understand the user's intent or desire from the text messages or natural language communications (i.e., voice or speech communications), artificial intelligence can be used.

A numerical control device includes a control computation unit that controls a machine tool and a robot by using an NC program defined in a first coordinate system, the control computation unit includes a storage unit that stores the NC program including a first command, which is a command for the machine tool described in a first programming language, and a second command, which is a command for the robot described in the first programming language, and a program converting unit that converts the second command into a third command, which is a robot program used for controlling the robot, and the control computation unit controls the machine tool by using the first command and controls the robot by using the third command.

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 data processing system for controlling different types of mobile platforms. The data processing system includes an abstraction component, a standardization component and a driver management. The abstraction component is designed to be connected to one or to multiple platforms, to determine types of mobile platforms, to indicate the types to the driver management and to use drivers provided by the driver management in order to convert messages between an interface to the standardization component and interfaces to the mobile platforms, and/or in order to activate functions of the mobile platforms and of the standardization component. The interfaces of the abstraction component to the mobile platforms include interfaces to the software components of the mobile platforms.

Provided is a robot control device capable of facilitating the work of setting a control center for controlling the operation of a robot. The robot control device controls a robot manipulator which is equipped with an end effector. The robot control device includes: an image processing unit that, by using a feature extraction model for detecting images of the robot manipulator, and position/posture information of the robot manipulator, detects, from images (M1, M2) in which at least part of the robot manipulator is captured, a position in a three-dimensional space which corresponds to designated positions (P1, P2) designated on the images, as a position relative to the robot manipulator; and a coordinate system determination unit that sets a control center, for controlling the operation of the robot manipulator, to the position detected in the three-dimensional space.

A program generation device includes a display; at least one memory configured to store an operation symbol including information in relation to an operation command of a robot, and an auxiliary symbol including information in relation to a control command for adding an operation of the robot or for correcting the operation of the robot defined by at least one operation symbol; and at least one processor configured to obtain information in relation to setting of at least one of the operation symbol or the auxiliary symbol, and cause the display to display the operation symbol and the auxiliary symbol so as to align the operation symbol and the auxiliary symbol in order of operations of the robot based on the obtained information in relation to setting.

The disclosure generally relates to methods and systems for enabling human robot interaction by cognition sharing which includes gesture and audio. Conventional techniques that use the gestures and the speech, require extra hardware setup and are limited to navigation in structured outdoor driving environments. The present disclosure herein provides methods and systems that solves the technical problem of enabling the human robot interaction with a two-step approach by transferring the cognitive load from the human to the robot. An accurate shared perspective associated with the task is determined in the first step by computing relative frame transformations based on understanding of navigational gestures of the subject. Then, the shared perspective transformed to the robot in the field view of the robot. The transformed shared perspective is then given to a language grounding technique in the second step, to accurately determine a final goal associated with the task.