A system and method for manufacturing and authenticating an additively manufactured component are provided. The method includes forming a surface around a cross sectional layer and introducing localized surface variations to the surface. The localized surface variations are configured for generating a unique acoustic wave response that defines a component identifier of the component. The method further includes exciting the surface of the component at an excitation region using an excitation source and interrogating the surface at an excitation region of the component at an interrogation region using a vibration sensor. The acoustic wave response may be compared to a stored component identifier in a database for authenticating components.

A method of path planning via a collaborative robot system is provided. The method includes programming a first welding path along a first welding seam of a first part of a sequence of multiple identical parts to be welded by a user moving a welding torch along the first welding seam to define a first weld pattern. The user positions the welding torch at a start position of the first part and an end position of a last part of the sequence which are recorded. The user informs the system of the number of parts in the sequence. The system calculates a welding path for each part based on the start position, the end position, the number of parts, and the first welding path, thus defining a weld pattern for each part. The system automatically records each weld pattern independently, each of which can be independently modified by the user.

Embodiments of the present disclosure provide a method and a controller of controlling a robot. The method comprising detecting a pattern of a series of external forces applied on a portion of at least one arm link of the robot; comparing the pattern with a predetermined pattern associated with the portion; and in accordance with a determination that the detected pattern matches the predetermined pattern, controlling the robot to perform an action corresponding to the predetermined pattern. By introducing a pattern of a series of external forces applied on a robot to control the robot, the control of the robot can be done more intuitively. In this way, some intermediate steps such as conversion of view angle and instructions required to use the HMI-based methods are omitted, thereby improving efficiency or reliability of the robot.

A work teaching device for a robot that teaches work by a teacher to the robot is configured to include a teaching pose measurement unit that measures a position and posture of an object grasped by the teacher, a positioning detection unit for detecting that the object moved by the teacher is positioned, a grasping motion detection unit for detecting that the object is grasped by the teacher, a functional operation detection unit for detecting that the teacher operates a function of the object, a work state confirming motion detection unit that detects that confirmation of a work state of the object by the teacher is performed, a teaching program generation unit that receives signals from the teaching pose measurement unit, the positioning detection unit, the grasping motion detection unit, the functional operation detection unit, and the work state confirming motion detection unit and generates a teaching program for the robot in which the signals are divided for each movement of the teacher, and a teaching program execution unit that executes the teaching program generated by the teaching program generation unit.

To enhance the productivity of an offline teaching work by visualizing the working position, path, and the like of an end effector in offline teaching. A robot teaching device, includes: a teaching point marker display unit configured to display, on a GUI, teaching point markers for marking teaching points in a three-dimensional modeling space in which at least a three-dimensional model of a robot including an end effector and a three-dimensional model of a work piece are arranged, the teaching points serving as target passing points of the end effector; a joined path display unit configured to display, on the GUI, a joined path, which is a path connecting successive points among the teaching points to each other; and a changing point marker display unit configured to display, on the GUI, a changing point marker marking a point at which a working state of the end effector changes.

A robot system includes a robot, a vision sensor, and a controller. The vision sensor is configured to be detachably attached to the robot. The controller is configured to measure a reference object by using the vision sensor and calibrate a relative relationship between a sensor portion of the vision sensor and an engagement portion of the vision sensor, and teach the robot by referring to the relative relationship and by using the vision sensor, after the vision sensor is attached to the robot.

Disclosed example robotic welding tool tips include a body having a first end configured to be connected to a robotic welding torch in place of a nozzle and a second end having an angled surface.

Systems and methods of measuring feet and designing and creating orthopedic inserts are described. A leg length discrepancy of a user is measured and this data, along with foot size are input into a computer. The computer then creates a computer model of a custom shoe insert based on this information. The computer model is then sent to a 3D printer to print the insert. The insert consists of a base insert with partial correction, and several additional layers that are added successively over time until a full correction is obtained. This eliminates any pain associated with a fully corrective insert, and allows the body to adjust gradually to the correction.

A robot teaching system and control method thereof are disclosed. In robot teaching system, a haptic device generates pieces of teaching data to a robot, so that the robot moves and rotates according to the pieces of teaching data, and a force sensor captures first feedback data corresponding to the motion and rotation of the robot and outputs a feedback signal, which corresponds to the first feedback data, to the haptic device. Thus, the user, who controls the haptic device, can understand the situation of the robot and react to the situation immediately, so as to avoid the risk for lack of user's instant reaction to the situation of the robot in the conventional robot teaching system.

CLEAN COPY OF THE ABSTRACT

A method to control a closed robotised system comprises a learning step and a reproduction step, wherein, during the learning step, an operator exerts a force and/or a torque (Fc) on a driving assembly, whose sensor detects an applied force and/or torque (Fext); and wherein a processing system carries out an admittance control obtaining, depending on the data detected by the sensor, indications (Xref, X*ref) of movement for the robot manipulator in the Cartesian space; the processing system, following the admittance control, delivers the indications (Xref, X*ref) of movement in the Cartesian space to a trajectory interpolation unit of the robotised system so as to generate a desired trajectory through interpolation.