Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.

A grinding apparatus including a robot, a grinding tool attached to the robot, a force sensor configured to detect a force exerted on the grinding tool, and a controller connected with the force sensor and configured to control the robot. The controller includes a variation acquiring section configured to acquire the present position of the robot by pressing the grinding tool against a reference surface in such a manner that a pressing force detected by the force sensor is constant, and to acquire a difference between the acquired present position and a reference position of the robot stored in advance, the difference being acquired as a variation of the grinding tool.

A method for setting more precisely a position and/or an orientation of a device head in a measuring environment by a distance measuring device which has a number of M, M≥1, distance measuring sensors and which is connected to the device head. A control device is communicatively connected to the distance measuring device and an on-board sensor device. The position and/or the orientation of the device head is determined by the on-board sensor device and the position and/or the orientation of the device head determined by the on-board sensor device is set more precisely by the control device.

A device and method for aligning a robot coordinate system, being a coordinate system of a robot for moving an operating point three-dimensionally, and a measuring instrument coordinate system, being a coordinate system of a three-dimensional measuring instrument which is capable of executing a light sectioning method and of which a position and attitude with respect to the operating point are unchanging, characterized by including the steps of: determining a relationship between the coordinate systems; radiating sheet-like slit light from the three-dimensional measuring instrument onto a reference object in the shape of a rectangular cuboid which is fixed; finding the attitude of the three-dimensional measuring instrument relative to the reference object; and moving the three-dimensional measuring instrument such that the attitude of the three-dimensional measuring instrument falls within a predetermined standard attitude range.

A system and method for use of artificial and nature racking features to calibrate sensors and tune a robotic control system of a sensor fusion guided robotic assembly. The artificial tracking features can have a configuration, or be at a location, that may be less susceptible to noise and error. Thus, the sensors can at least initially be calibrated, and the control system initially tuned, using the first tracking features until the sensors and control system satisfy operation performance criteria. Second tracking features, which may correspond to features on a workpiece that will be utilized in an assembly operation performed by the robot. By pre-calibrating the sensors, and pre-tuning the control system prior to calibration using the second tracking features, sensor calibration and system tuning based on the second tracking features can be attained faster and with less complexity.

In a method for compensating for friction of a multi-degree-of-freedom cooperative robot including a plurality of joints, the method for compensating for friction of the multi-degree-of-freedom cooperative robot, according to an embodiment of the present invention, comprises the steps of: generating a motion of a cooperative robot for friction compensation; driving the plurality of joints on the basis of the generated motion of the cooperative robot; receiving friction identification data from the cooperative robot; and calculating a friction model function from the received friction identification data.

An aligner system includes a motor, a rotating device, a control device, and a sensor. The motor generates a rotational drive force. The rotating device 11 is rotated by the rotational drive force generated by the motor, while supporting a wafer. The control device controls rotation of the rotating device, and performs a process of setting a rotational phase of the wafer to a predetermined value. The sensor emits a plurality of light beams traveling in different directions toward an edge of the wafer, and receives the light beams to detect a defect in the edge of the wafer.

The method and system disclosed herein presents a method and system for capturing, by a camera disposed on a device moving in an environment, a plurality of image frames recorded in a first coordinate reference frame at respective locations within a portion of the environment in a first time period; capturing, by an inertial measurement unit disposed on the device, sets of inertial odometry data recorded in a second coordinate reference frame; determining a rotational transformation matrix that corresponds to a relative rotation between the first reference frame and the second reference frame; and determining a scale factor from the matching pairs of image frames. The rotational transformation matrix defines an orientation of the device, and the scale factor and the rotational transformation matrix calibrate the plurality of image frames captured by the camera.

A robot position calibration apparatus is disclosed including a scan position controller configured to control the position of the robot by individually setting parameter sets related to the position of the robot for causing a scanner mounted on an end of the robot to scan an object in multiple scan positions around the robot, and a data receiver configured to receive, from the scanner, multiple scan data items generated by the scanner scanning the object in each of the multiple scan positions, and a parameter calibrator configured to calculate calibration values for the parameter sets having been individually set, by using multiple position information items corresponding to the parameter sets and the multiple scan data items.

One embodiment can provide a robotic system. The system can include a machine-vision module, a robotic arm comprising an end-effector, a robotic controller configured to control movements of the robotic arm, and an error-compensation module configured to compensate for pose errors of the robotic arm by determining a controller-desired pose corresponding to a camera-instructed pose of the end-effector such that, when the robotic controller controls the movements of the robotic arm based on the controller-desired pose, the end-effector achieves, as observed by the machine-vision module, the camera-instructed pose. The error-compensation module can include a machine learning model configured to output an error matrix that correlates the camera-instructed pose to the controller-desired pose.