EA201990572A1 - METHOD AND SYSTEM OF OBJECT CAPTURE USING A ROBOTIC DEVICE - Google Patents

METHOD AND SYSTEM OF OBJECT CAPTURE USING A ROBOTIC DEVICE

Info

Publication number
EA201990572A1
EA201990572A1 EA201990572A EA201990572A EA201990572A1 EA 201990572 A1 EA201990572 A1 EA 201990572A1 EA 201990572 A EA201990572 A EA 201990572A EA 201990572 A EA201990572 A EA 201990572A EA 201990572 A1 EA201990572 A1 EA 201990572A1
Authority
EA
Eurasian Patent Office
Prior art keywords
robotic device
gripping
objects
robotic
point
Prior art date
Application number
EA201990572A
Other languages
Russian (ru)
Other versions
EA038279B1 (en
Inventor
Альберт Рувимович ЕФИМОВ
Александр Николаевич СЁМОЧКИН
Святослав Дмитриевич МОРОШКИН
Original Assignee
Публичное Акционерное Общество "Сбербанк России" (Пао Сбербанк)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Публичное Акционерное Общество "Сбербанк России" (Пао Сбербанк) filed Critical Публичное Акционерное Общество "Сбербанк России" (Пао Сбербанк)
Publication of EA201990572A1 publication Critical patent/EA201990572A1/en
Publication of EA038279B1 publication Critical patent/EA038279B1/en

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1602Programme controls characterised by the control system, structure, architecture
    • B25J9/161Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Fuzzy Systems (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Image Analysis (AREA)
  • Manipulator (AREA)

Abstract

Заявленное изобретение в общем относится к области робототехнических устройств, а в частности к способам и системам для обеспечения захвата различных объектов с помощью роботизированных устройств. Способ захвата объекта с помощью роботизированного устройства содержит этапы, на которых обучают роботизированное устройство с помощью по меньшей мере одного алгоритма машинного обучения для распознавания и запоминания точек захвата объектов, причем обучение выполняется на данных, характеризующих фотографические изображения объектов и соответствующие 3D модели объектов в различных ракурсах; формируют по меньшей мере одну точку захвата объекта, представленного на графическом изображении объекта; получают фотографическое изображение объекта с помощью камеры роботизированного устройства и определяют ракурс, отображающий сформированную точку захвата объекта; получают трехмерное облако точек объекта в выявленном ракурсе с помощью сенсора глубины роботизированного устройства; определяют по полученному облаку точек месторасположение точки захвата объекта; определяют ориентацию и положение захватного устройства роботизированного устройства в обнаруженной точке захвата, причем определение осуществляется с помощью вычисления матриц поворотов роботизированного устройства; осуществляют захват объекта с помощью роботизированного устройства на основании вычисления усредненной матрицы поворотов для заданной точки захвата. Технический результат - повышение точности распознавания области захвата объекта роботизированным устройством за счет определения ориентации захватного устройства на основании расчета матрицы поворотов для цели захвата объекта в требуемой точке захвата.The claimed invention generally relates to the field of robotic devices, and in particular to methods and systems for providing the capture of various objects using robotic devices. A method for capturing an object using a robotic device comprises the stages at which a robotic device is trained using at least one machine learning algorithm for recognizing and memorizing the capture points of objects, and the training is performed on data characterizing photographic images of objects and corresponding 3D models of objects in various angles ; form at least one gripping point of the object represented on the graphical image of the object; obtaining a photographic image of the object using the camera of the robotic device and determining the angle displaying the formed gripping point of the object; obtaining a three-dimensional cloud of points of the object in the identified perspective using the depth sensor of the robotic device; determine by the obtained cloud of points the location of the point of capture of the object; determining the orientation and position of the gripping device of the robotic device at the detected gripping point, and the determination is carried out by calculating the matrices of rotations of the robotic device; the object is gripped by a robotic device based on the calculation of the averaged rotation matrix for a given gripping point. The technical result is an increase in the accuracy of recognition of the object gripping area by a robotic device by determining the orientation of the gripping device based on the calculation of the rotation matrix for the purpose of gripping the object at the desired gripping point.

EA201990572A 2019-03-21 2019-03-22 Method and system for grasping an object by means of a robotic device EA038279B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
RU2019108223A RU2700246C1 (en) 2019-03-21 2019-03-21 Method and system for capturing an object using a robot device

Publications (2)

Publication Number Publication Date
EA201990572A1 true EA201990572A1 (en) 2020-09-30
EA038279B1 EA038279B1 (en) 2021-08-04

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EA201990572A EA038279B1 (en) 2019-03-21 2019-03-22 Method and system for grasping an object by means of a robotic device

Country Status (3)

Country Link
EA (1) EA038279B1 (en)
RU (1) RU2700246C1 (en)
WO (1) WO2020190166A1 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2756437C1 (en) * 2020-09-03 2021-09-30 Публичное Акционерное Общество "Сбербанк России" (Пао Сбербанк) Method and system for planning the movement of a manipulator robot by correcting the reference trajectories
RU2745380C1 (en) * 2020-09-03 2021-03-24 Публичное Акционерное Общество "Сбербанк России" (Пао Сбербанк) Method and system for capturing objects using robotic device
CN112884825B (en) * 2021-03-19 2022-11-04 清华大学 Deep learning model-based grabbing method and device
CN113012800A (en) * 2021-04-19 2021-06-22 联仁健康医疗大数据科技股份有限公司 Multipurpose clamping method, multipurpose clamping system, medical robot and storage medium
CN113753562B (en) * 2021-08-24 2023-07-25 深圳市长荣科机电设备有限公司 Linear motor-based carrying method, system, device and storage medium
CN114125416B (en) * 2021-10-13 2024-03-19 厦门微图软件科技有限公司 Three-dimensional detection platform software and device based on machine learning and deep learning
EP4177013A1 (en) * 2021-11-04 2023-05-10 Vathos GmbH Control of an industrial robot for a gripping task
CN116197886A (en) * 2021-11-28 2023-06-02 梅卡曼德(北京)机器人科技有限公司 Image data processing method, device, electronic equipment and storage medium
CN114474108B (en) * 2022-01-13 2024-01-16 湖南中南智能装备有限公司 Method for controlling robot through linkage of USB control handles

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JP2006007390A (en) * 2004-06-29 2006-01-12 Sharp Corp Imaging device, imaging method, imaging program, and computer-readable recording medium having the imaging program recorded thereon
FI20105732A0 (en) * 2010-06-24 2010-06-24 Zenrobotics Oy Procedure for selecting physical objects in a robotic system
FI20106387A (en) * 2010-12-30 2012-07-01 Zenrobotics Oy Method, computer program and device for determining the site of infection
US9002098B1 (en) * 2012-01-25 2015-04-07 Hrl Laboratories, Llc Robotic visual perception system
US10335951B2 (en) * 2015-07-29 2019-07-02 Canon Kabushiki Kaisha Information processing apparatus, information processing method, robot control apparatus, and robot system
RU2674326C2 (en) * 2017-02-20 2018-12-06 Автономная некоммерческая образовательная организация высшего образования "Сколковский институт науки и технологий" Method of formation of neural network architecture for classification of object taken in cloud of points, method of its application for teaching neural network and searching semantically alike clouds of points

Also Published As

Publication number Publication date
EA038279B1 (en) 2021-08-04
RU2700246C1 (en) 2019-09-20
WO2020190166A1 (en) 2020-09-24

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