This invention relates to a robot programming method that is carried out at a first location (i.e., teaching station) and a second location (i.e., application station). The second location is different from the first location. At the first location, teach data is prepared to teach motions to a robot to drive an end effector through a series of desired path points along a desired path of motion with respect to the application station. The teach data comprises at least one of robot position data elements and at least one of robot motion pattern data elements. At the second location, teach data is communicated to the robot and the robot is programmed in accordance with the teach data to drive the end effector through the series of desired path points along the desired path of motion with respect to the application station. This invention also relates to a robot programming system. The robot programming method and system are useful, for example, in thermal spray coating applications.

The present invention relates to methods for learning a robot task and robots systems using the same. A robot system may include a robot configured to perform a task, and detect force information related to the task, a haptic controller configured to be manipulatable for teaching the robot, the haptic controller configured to output a haptic feedback based on the force information while teaching of the task to the robot is performed, a sensor configured to sense first information related to a task environment of the robot and second information related to a driving state of the robot, while the teaching is performed by the haptic controller for outputting the haptic feedback, and a computer configured to learn a motion of the robot related to the task, by using the first information and the second information, such that the robot autonomously performs the task.

There is provided a data processing device, a data processing method, and a robot capable of performing environment sensing using an appropriate algorithm. The data processing device according to one aspect of the present technology is provided with a sensing control unit configured to adaptively select and execute an environment sensing program in which an environment sensing algorithm to sense an environment on the basis of sensor data output from a sensor mounted on a robot is defined according to an environment sensing condition. The present technology may be applied to a sensor device mounted on various devices.

A programming method is for a numerical control machine tool system including a mobile terminal, a controller, a robot, and a numerical control machine tool. The mobile terminal is wirelessly connected to the controller configured to control the robot and the numerical control machine tool, and the robot and the numerical control machine tool being configured to work cooperatively to process a workpiece. The method includes: loading, at the mobile terminal, a preset motion model of the robot and the numerical control machine tool, the preset motion model being a plurality of graphical functional modules and a connection between them; receiving a graphical programming instruction for a user to configure the preset motion model using the mobile terminal; and converting the graphical programming instruction into G-code, where the G-code is used by the controller to control the robot and the numerical control machine tool to process the workpiece.

The present invention relates to a system and a method for programming an industrial robot (3) to perform work in a robot cell including a plurality of workstations (4a-c). The method comprises: a first memory location for storing a plurality of programming blocks including robot code comprising program instructions for the robot to carrying out a part of a task, and at least some of the programming blocks comprises program code including program instructions for generating a graphical user interface for guiding a user to program the part of the task, a graphical generator configured to generate a first wizard including a first graphical user interface allowing a user to define a plurality of workstations, to select a sequence of said programming blocks for each of the defined workstations, and to define a specific robot cell including one or more of said defined workstations, and a programming tool generator configured to generate a guiding tool for programming the specific robot cell based on the program code of the selected sequences of programming blocks for the workstations in the robot cell, wherein the guiding tool comprises program code for generating a second wizard having a second graphical user interface comprising a sequence of views including instructions for guiding a user to program the specific robot cell, and allowing the user to select one or more of the workstations in the specific robot cell, and to input parameters in response to the displayed instructions.

A robot control device includes: a graphic primitive selection unit that selects graphic primitives having a tag indicating machining details from CAD data in a CAD device; a tool data extraction unit that extracts, from the database unit, information on a machining tool associated with the machining details indicated by the tag attached to the selected graphic primitives; and an operation planning unit that allows a robot to perform a machining operation according to the extracted information on the machining tool based on the selected graphic primitives.

Robotic systems, methods of operation of robotic systems, and storage media including processor-executable instructions are disclosed herein. The system may include a robot, at least one processor in communication with the robot, and an operator interface in communication with the robot and the at least one processor. The method may include executing a first set of autonomous robot control instructions which causes a robot to autonomously perform the at least one task in an autonomous mode, and generating a second set of autonomous robot control instructions from the first set of autonomous robot control instructions and a first set of environmental sensor data received from a senor. The second set of autonomous robot control instructions when executed causes the robot to autonomously perform the at least one task. The method may include producing at least one signal that represents the second set of autonomous robot control instructions.

Systems, methods, and computer-readable media are disclosed for task-oriented motion mapping on an agent using body role division. One method includes: receiving task demonstration information of a particular task; receiving a set of instructions for the particular task; receiving a configuration of an agent to perform the particular task, the configuration of the agent including a plurality of joints, and each joint belong to one or more of a configurational group, a positional group, and a orientational group: mapping the configurational group of the agent based on the task demonstration information; changing values in the orientational group based on one or more of the task demonstration information and the set of instructions; changing values in the positional group based on the set of instructions; and producing a task-oriented motion mapping based on the mapped configuration group, changed values in the orientation group, and changed values in the positional group.

Method, modules and a system formed by connecting the modules for controlling payloads are disclosed. An activation signal is propagated in the system from a module to the modules connected to it. Upon receiving an activation signal, the module (after a pre-set or random delay) activates a payload associated with it, and transmits the activation signal (after another pre-set or random delay) to one or more modules connected to it. The system is initiated by a master module including a user activated switch producing the activation signal. The activation signal can be propagated in the system in one direction from the master to the last module, or carried bi-directionally allowing two way propagation, using a module which revert the direction of the activation signal propagation direction. A module may be individually powered by an internal power source such as a battery, or connected to external power source such as AC power. The system may use remote powering wherein few or all of the modules are powered from the same power source connected to the system in a single point. The power may be carried over dedicated wires or concurrently with the conductors carrying the activation signal. The payload may be a visual or an audible signaling device, and can be integrated within a module or external to it. The payload may be powered by a module or using a dedicated power source, and can involve randomness associated with its activation such as the delay, payload control or payload activation.

A method of teaching a robot, the robot including a first and second end effector that are mounted to a robotic arm wrist, the first and second end effector being rotatable about a same rotational axis independently of each other. The method includes: a first step of, in a state where rotational positions of the first and second end effectors about the rotational axis coincide with each other, attaching a relative motion preventing device to the first and second end effector, the relative motion preventing device preventing the first and second end effector from moving relative to each other; and a fourth step of generating a teaching point of the second end effector based on: a teaching point of the first end effector; and rotational position information about the first and second end effector that are stored in a storage unit in association with each other in a third step.