A data generation device generates at least a part of data used for a generation of an image displayed on a display unit. The display unit displays a workspace model modeled after an actual workspace, as a video. The workspace model includes a robot model modeled after an actual robot, and a peripheral object model modeled after a given peripheral object around the actual robot. The robot model is created so as to operate according to operation of an operator to a manipulator. The data generation device includes a state information acquiring module configured to acquire state information indicative of a state of the peripheral object, and an estimating module configured to estimate, based on the state information, a state of the peripheral object after a given period of time from the current time point, and generate a result of the estimation as peripheral-object model data used for a creation of the peripheral object model displayed on the display unit.

A robot system includes a robot body, a memory, an operation controlling module, a manipulator, and a limit range setting module configured to set a limit range of the corrective manipulation by the manipulator. The operation controlling module executes a given limiting processing when a corrective manipulation is performed beyond the limit range from an operational position based on automatic operation information. The limit range setting module calculates a positional deviation between the operational position based on the automatic operation information before the correction and an operational position based on the corrected operation information, and when the positional deviation is at or below a first threshold, narrows the limit range in the next corrective manipulation by the manipulator.

The present disclosure provides systems and methods for training a robot. The systems and methods may provide a robotic system. The robotic system may comprise a trainable robot and a sensor. The sensor may be attached to at least one physical tool. The method may comprise using the sensor to capture movement from a user operating the at least one physical tool. The method may include using at least the movement captured to train the robot, such that upon training, the robot may be trained to perform at least the movement.

An industrial robot including a movable robot arm for supporting a tool, and a control unit configured to control the movement of the robot. The control unit is provided with an alignment function for aligning the tool with at least one specified axis. The control unit is configured to supervise the movement of the robot, and to automatically adjust the orientation of the tool so that the tool is aligned with the specified axis upon detecting that the movement of the robot has been stopped and the alignment function is activated. Also disclosed is a method for controlling the industrial robot, and to the use of the method for teaching a robot a path including a plurality of target points by lead-through programming.

An industrial robot including a movable robot arm for supporting a tool, and a control unit configured to control the movement of the robot. The control unit is provided with an alignment function for aligning the tool with at least one specified axis. The control unit is configured to supervise the movement of the robot, and to automatically adjust the orientation of the tool so that the tool is aligned with the specified axis upon detecting that the movement of the robot has been stopped and the alignment function is activated. Also disclosed is a method for controlling the industrial robot, and to the use of the method for teaching a robot a path including a plurality of target points by lead-through programming.

A control apparatus includes a processor that is configured to control a robot, and receive an object coordinate system set for an object not an end effector and not moving or rotating with the end effector. The processor is configured to execute a first control mode in which the end effector is moved and rotated according to a detected force while the force is detected by a force detector, and execute a second control mode in which, when a relative angle between a predetermined first axis of a moving coordinate system moving and rotating with the end effector and a predetermined second axis of the object coordinate system is smaller than an angle threshold value, the end effector is rotated to make magnitude of the relative angle closer to zero.

A robot arm permitting a more sensitive and precise operation in the offline programming of a robot having a robot arm with a number of arm components, which can be connected to a robot body via a number of actuator-drivable joint connections.

A robot arm permitting a more sensitive and precise operation in the offline programming of a robot having a robot arm with a number of arm components, which can be connected to a robot body via a number of actuator-drivable joint connections.

Method and robot arm, where the motor torques of the joint motors of a robot arm are controlled based on a static motor torque indicating the motor torque needed to maintain the robot arm in a static posture, where the static motor torque is adjusted in response to a change in posture of the robot arm caused by an external force different from gravity applied to the robot arm. Further the motor torque of the joint motors is controlled based on an additional motor torque obtained based on a force-torque provided to the robot tool flange, where the force-torque is obtained by a force-torque sensor integrated in the tool flange of the robot arm.

A dragging demonstration system and method. The dragging demonstration system comprises: a model identification module configured to build a static model of a robot and identify model parameters, wherein the static model comprises a gravity model and a Coulomb friction model; a feedforward compensation module configured to convey the identified model parameters to a current ring of each joint motor of the robot in a feedforward way according to the identified model parameters; and a data recording module configured to record the position information of each joint of the robot so that the robot can repeat the demonstration action. The system and method can make a user push the robot quite easily to implement dragging demonstration.