A master unit includes a welding DB in which prescribed motion data associated with an object to be welded is stored, a state sensor which measures, as welding state data, a situation of welding by a robot which executes welding in a real environment according to the prescribed motion data, a simulated environment which imitates the real environment and notifies a worker of the welding state data, and a motion control unit which receives, as an input, worker motion data indicating a motion of welding by the worker from the simulated environment, operates the robot in the real environment by using the worker motion data instead of the prescribed motion data, and records, as new prescribed motion data, the input worker motion data in the welding DB.

A laser processing robot system, in which an augmented reality processing technology is used to enable a processing laser beam and its irradiation position to be safely and easily seen, is provided. A laser processing robot system includes an image processing device having an augmented reality image processing unit for performing augmented reality image processing for an actual image including an image of a robot captured by an imaging device. The augmented reality image processing unit is adapted to superimpose a virtual image representing at least one of a laser beam obtained by assuming that the laser beam is emitted from a laser irradiation device to a workpiece, and an irradiation position of the laser beam, onto the actual image, and to display the superimposed image on the display device.

A control device according to an embodiment receives first posture data of a posture of a first robot. The first robot includes a first manipulator and a first end effector. Furthermore, the control device sets the posture of the first robot based on the first posture data and causes the first robot to perform a first task on a first member. The first posture data is generated based on second posture data. The second posture data is of a posture when a second robot that includes a second manipulator and a second end effector performs a second task on the first member.

Provided are a robot system, a robot control device, a control method, and a program which make it possible to more simply teach a robot action. The robot system comprises: a feature point teaching unit which causes a storage unit to store the position of a feature point that has been taught using lead-through; an input accepting unit which accepts the input of an angle value of a tool with respect to a workpiece W; a posture determining unit which determines the posture of the tool on the basis of the angle value of the tool; and a program generating unit which generates a robot program for a robot on the basis of the position of the feature point and the posture.

A robotic electric arc welding system includes a welding torch, a welding robot configured to manipulate the welding torch during a welding operation, a robot controller operatively connected to the welding robot to control weaving movements of the welding torch along a weld seam and at a weave frequency and weave period, and a welding power supply operatively connected to the welding torch to control a welding waveform, and operatively connected to the robot controller for communication therewith. The welding power supply is configured to sample a plurality of weld parameters during a sampling period of the welding operation and form an analysis packet, and process the analysis packet to generate a weld quality score, wherein the welding power supply obtains the weave frequency or the weave period and automatically adjusts the sampling period for forming the analysis packet based on the weave frequency or the weave period.

A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a first determination unit configured to perform a first inspection determination related to a shape of the welding bead based on a comparison between the input data and a master data, k second determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to perform a second inspection determination related to a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting the input data, and a comprehensive determination unit configured to output a result of an appearance inspection of the welding bead to an output device based on determination results of the first determination unit and the k second determination units.

An example robotic welding system, includes: a robotic manipulator configured to manipulate a welding torch; and a robotic controller, comprising: a processor; and a machine readable storage medium comprising machine readable instructions which, when executed by the processor, cause the processor to, in response to initiation of a robotic welding procedure involving the robotic manipulator: prior to starting the robotic welding procedure, output at least one of a visual notification or an audible notification proximate to the robotic manipulator; and after satisfying at least one weld-ready condition, control the robotic manipulator to perform the robotic welding procedure using the welding torch.

A machine learning device, which learns an operation program of a robot, includes a state observation unit which observes as a state variable at least one of a shaking of an arm of the robot and a length of an operation trajectory of the arm of the robot; a determination data obtaining unit which obtains as determination data a cycle time in which the robot performs processing; and a learning unit which learns the operation program of the robot based on an output of the state observation unit and an output of the determination data obtaining unit.

A fusion welding device includes: a robot arm; a fusion welding hand attached to the robot arm and including a fusion welding head for fusing and joining together workpieces while being separated from the workpieces; a support provided to the fusion welding hand and abutting on the workpieces; a force sensor for detecting a force and a moment exerted, through the support, by the workpieces; and a control section configured to control motion of the robot arm in accordance with parameters calculated from a signal outputted from the force sensor.

A robot control apparatus for a more precise seam tracking operation, includes: a storage unit in which teaching data is stored; an accepting unit that accepts a sensing result of a laser sensor, from a robot including a working tool and the laser sensor attached to the working tool and configured to detect a shape of a working target before an operation of the working tool; and a control unit that moves the working tool based on the teaching data, corrects the movement of the working tool based on the sensing result, and adjusts an angle about a tool axis such that an operation point indicated by the sensing result is at a center of a field of view of the laser sensor. Accordingly, an operation line can be detected near the center of the field of view of the laser sensor, and thus more precise detection is possible.