G05B2219/39466

MACHINE LEARNING DRIVEN COMPUTER NUMERICAL CONTROL OF A ROBOTIC MACHINE TOOL
20210046642 · 2021-02-18 ·

A modular robotic apparatus includes one or more sensors configured to generate sensor signals representing a manufacturing environment in which the modular robotic apparatus is located. A machine learning module is communicably coupled to the one or more sensors and includes a computer processor. The computer processor generates, by a machine learning model trained based on one or more manufacturing parameters, a computer numerical control (CNC) configuration. The one or more manufacturing parameters define a manufacturing task to be performed by the modular robotic apparatus. The machine learning model adjusts the CNC configuration based on the sensor signals. A robotic machine tool is communicably coupled to the machine learning module and includes an end effector. The robotic machine tool is configured to operate the end effector in accordance with the adjusted CNC configuration.

SYSTEMS AND METHODS FOR DETERMINING A TYPE OF GRASP FOR A ROBOTIC END-EFFECTOR
20210023702 · 2021-01-28 ·

Substantially as described and illustrated herein including devices, methods of operation for the systems or devices, articles of manufacture including processor-executable instructions, and a system including a robot.

Robotic gripping device system and method
10875175 · 2020-12-29 · ·

A robotic gripping device, system and method are disclosed. The robotic device includes an end effector having at least one finger, the fingers being configured for manipulating objects in the vicinity of the device under computer control. The device is configured for manipulating objects of varying sizes, dimensions and positions with reference to the device, without requiring information as to the precise location of the object with reference to the device.

ROBOT AND METHOD FOR CONTROLLING A ROBOT
20200384651 · 2020-12-10 ·

The invention relates to a robot having a robot manipulator with an effector, wherein the robot manipulator is designed and constructed for picking up, handling, and releasing an object and is controlled/regulated in accordance with a control program by a control unit, including a first sensor means, which is designed and constructed to determine a persisting adherence of the object to the effector after a release of the object by the effector in accordance with a control program, and where such an adherence persists, to generate a signal S, wherein the control unit is designed and constructed to execute the following control program: where a signal S is present, control the robot manipulator in such a manner that it executes a predefined movement in which the effector with the persistently adhering object is passed by a wiping object in such a manner that the adhering object is wiped off on the surface of the wiping object

Control device, robot, and robot system
10857675 · 2020-12-08 · ·

A control device includes a control section configured to control a robot on the basis of first information concerning positions and sequential numbers for drawing a linear object around a first object. The first information is received by a receiving section and displayed on a display section.

Systems, devices, articles, and methods for prehension of items
10836034 · 2020-11-17 · ·

A system and method of determining a grasp type of an end-effector of a robot when interacting with an item wherein a plurality of velocity values of the end-effector at various positions of its movement are collected and used to determine the grasp type when a given velocity value is below a predetermined threshold.

ROBOTIC SYSTEM WITH HANDLING MECHANISM AND METHOD OF OPERATION THEREOF
20200290825 · 2020-09-17 ·

A gripper including: an orientation sensor configured to generate an orientation reading for a target object; a first grasping blade and a second grasping blade configured to secure the target object in conjunction with the first grasping blade and at an opposite end of the target object relative to the first grasping blade; a first position sensor, of the first grasping blade, configured to generate a first position reading of the first grasping blade relative to the target object; a second position sensor, of the second grasping blade, configured to generate a second position reading of the second grasping blade relative to the target object; and a blade actuator configured to secure the target object with the first grasping blade and the second grasping blade based on a valid orientation of the orientation reading and based on the first position reading and the second position reading indicating a stable condition.

REMOTE ROBOT MONITORING SYSTEM AND METHOD

A remote robot monitoring system. It has a remote data server; a remote user interface; a robot with a general-purpose in processor programmable by program-code instructions; and computer-readable memory in communication with and accessible by the general-purpose processor, including: robot-task program code comprising instructions for execution by the processor to control functioning of the robot to perform a task; and robot monitoring program code distinct from the robot-task program code, wherein the robot monitoring program code is configured as a plug-in to the robot-task program code, the robot monitoring program code including: a data reception module to receive robot performance data; and remote data transmission program code to establish a connection with the remote data server to receive the robot performance data and transmit robot monitoring data according to the robot performance data to the remote data server.

Calculating a calibration parameter for a robot tool
10723028 · 2020-07-28 · ·

A method calculates a calibration parameter for a robot tool. The method is based on the reception of an image dataset from medical imaging of an image volume via a first interface. The image volume contains a part of the robot tool and the robot tool is attached to a robot. A robot dataset is received by a second interface. The robot dataset contains a position of a movable axis of the robot during the recording of the image dataset. The position and/or orientation of a marking in the image dataset are determined by a computing unit. An image-based position and/or orientation of the tool center point of the robot tool are calculated by transforming the position and/or orientation of the marking. The calibration parameter is calculated based on the robot dataset and on the image-based position and/or orientation of the tool center point via the computing unit.

WORK MACHINE
20200233395 · 2020-07-23 · ·

A work machine including a work head including a holding tool to pick up and hold a component, a rotating device to rotate the holding tool about an axis of the holding tool, a pivoting device to pivot the holding tool between a first attitude in which a distal end portion of the holding tool faces downward and a second attitude in which the distal end portion of the holding tool faces sideways; a moving device to move the work head; and a control device to control operation of the work head and the moving device, the control device including an operation control section to cause the holding tool to pivot from the first attitude to the second attitude, and to cause the holding tool to rotate from a holding angle that is a rotation angle when the component was picked up to a target angle.