Provided is a method for controlling a robot including a base, a robot arm coupled to the base, and a drive unit including a motor for driving the robot arm. The method includes a first step of acquiring target position information on a target position when the robot arm is moved; a second step of determining a frequency component to be removed from a drive signal for driving the motor based on a posture of the robot arm at the target position of the acquired target position information; and a third step of removing the frequency component determined in the second step from the drive signal to generate a correction drive signal.

A robotic device includes one or more actuators to position an end effector in a plurality of degrees of freedom. A navigation system tracks an actual position of the end effector. A controller identifies a condition wherein the actual position of the end effector contacts a virtual constraint. The controller determines that an anticipated movement of the end effector from an actual position to the home position would cause a collision between the end effector and a virtual constraint and computes a target position of the end effector that avoids the collision. The target position is spaced from the actual position and computed with respect to the virtual constraint. The one or more actuators are controlled to move the end effector from the actual position to target position along the virtual constraint.

Systems, devices, articles, and methods, described in greater detail herein, including robotic systems which include at least one rangefinder, at least one manipulator, and at least one processor in communication with the at least one rangefinder, and methods of operation of the same. The at least one processor obtains rangefinder pose information which represents, at least, the at least one manipulator in a plurality of poses. The at least one processor obtains manipulator pose information, optimizes a model of mismatch between the rangefinder pose information and the manipulator pose information, wherein the model of mismatch includes a plurality of parameters, and updates at least one processor readable storage device with the plurality of parameters based at least in part on the optimization.

A processing path generating device including an intuitive path teaching device and a controller is provided. The intuitive path teaching device is provided for gripping and moving with respect to a workpiece to create a moving path. The intuitive path teaching device has a detecting portion for detecting a surface feature of the workpiece. The controller is connected to the intuitive path teaching device. The controller generates a processing path according to the moving path of the intuitive path teaching device and the surface feature of the workpiece.

A robot teaching system includes: a photographing unit that photographs an image including a welding target and a marker installed on an industrial robot; a camera coordinate system setting unit that sets a camera coordinate system on a basis of the marker included in the image; an operation path setting unit that sets an operation path of the industrial robot on a basis of a welding position of the welding target included in the image in the camera coordinate system; and a program generation unit that generates a working program, while converting the set operation path from the camera coordinate system into a robot coordinate system set in a robot control apparatus on a basis of a position of the marker installed on the industrial robot. The robot teaching system generates a working program allowing appropriate welding at a welding position.

The operator may first place a blank device in a first socket in a first site. The APS may self-teach the position and orientation of that first socket by removing and replacing the device in the socket one or more times, and by detecting the position of the device in the socket or by monitoring a change in position of the device as it is placed into the socket. The APS then picks the device from the first socket (or from the input tray) and moves it in succession through the rest of the sockets to establish position and orientation of each socket. After all sockets are taught, the APS loads all sockets with blank devices, and programming begins. Alternatively, the programming job begins as each site is taught and before the remaining sites are taught so that production output can begin “immediately.”

According to one aspect of the present invention, disclosed is an automatic calibration method for a calibration device connected to a camera that is disposed the end effector of a robot and to a robot controller for controlling the robot. The method comprises the steps of: acquiring, from the camera and the robot controller, a robot-based coordinate system and an image of a marker marked in the work area of the robot (wherein the acquired image and robot-based coordinate system are recorded while the end effector is moved to a plurality of sample coordinates); and estimating the position of a robot coordinate system-based marker by using the acquired image and robot-based coordinate system.

A method for controlling a robot is provided. The method includes the steps of: determining a first comparison axis with reference to a first target area specified by a camera module of a robot, and determining a second comparison axis with reference to a second target area specified by a scanner module of the robot and associated with the first target area; and correcting a reference coordinate system associated with the camera module with reference to a relationship between the first comparison axis and the second comparison axis.

An industrial robot motion accuracy compensation method includes: establishing a motion parameter database, wherein the motion parameter database includes a plurality of different reference operating conditions and a motion parameter of the industrial robot corresponding to each reference operating condition, and each reference operating condition is formed by combining each element in each set in a total set of operation conditions; acquiring a current operating condition of the industrial robot; determining whether there is a reference operating condition matched with the current operating condition in the motion parameter database; if yes, taking a motion parameter corresponding to the matched reference operating condition as a motion parameter corresponding to the current operating condition; if no, performing an interpolation on a motion parameter corresponding to the current operating condition, and taking an interpolation result as the motion parameter corresponding to the current operating condition.

A method for generating a training data set for training an industrial robot which can be trained based on a corresponding training data set, comprising: providing a first imaging information, which describes a first one- or multi-dimensional image of an object which is to be relocated by means of an industrial robot which is to be trained on the basis of the training data set to be generated; processing the first imaging information to generate further imaging information, which describes at least one artificially generated further one- or multi-dimensional image of the object which is to be moved by means of an industrial robot which is to be trained on the basis of the training data set to be generated; and processing the further imaging information to generate a training data set for training an industrial robot which can be trained on the basis of the training data set.