Vibration Measurement of Robot End-Effector Based on Improved Optical Flow in Stereo Vision

In the high-precision operation of industrial robotic arms, vibrations can reduce the accuracy of the end-effector trajectory. To achieve vibration suppression, it is essential to accurately measure the vibration characteristics, which makes high-precision vibration measurement particularly importan...

Full description

Saved in:
Bibliographic Details
Published inInternational Conference on Automation, Control and Robotics Engineering (Online) pp. 23 - 28
Main Authors Wang, Chao, Fang, Lijin, Zhao, Qiankun, Qian, Yian
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.07.2025
Subjects
Online AccessGet full text
ISSN2997-6278
DOI10.1109/CACRE66141.2025.11119600

Cover

Abstract In the high-precision operation of industrial robotic arms, vibrations can reduce the accuracy of the end-effector trajectory. To achieve vibration suppression, it is essential to accurately measure the vibration characteristics, which makes high-precision vibration measurement particularly important. Traditional contact sensors suffer from mass loading effects and complex installation, whereas computer vision-based approaches have gained significant attention in research due to their non-contact nature. We present a binocular vision-based approach for measuring the three-dimensional vibration of the robotic arm's end effector. The technique utilizes sub-pixel corner detection technology, a video motion magnification algorithm, and an improved optical flow tracking algorithm that integrates Kalman filtering and the Hungarian algorithm. Through experimental analysis of robotic arm end-effector vibrations, the visual algorithm's output was validated against contact sensor data, confirming its efficacy in detecting microvibrations. The experimental results demonstrate that this method can achieve a high-precision measurement of minute vibrations, with a measurement accuracy of 0.01 mm. Additionally, experimental results under different load conditions indicate that the vibration frequencies of the three axes of the robot arm's end effector are concentrated around a specific frequency, further demonstrating that the end vibration frequency of the robot arm is not directly related to the magnitude of the applied load.
AbstractList In the high-precision operation of industrial robotic arms, vibrations can reduce the accuracy of the end-effector trajectory. To achieve vibration suppression, it is essential to accurately measure the vibration characteristics, which makes high-precision vibration measurement particularly important. Traditional contact sensors suffer from mass loading effects and complex installation, whereas computer vision-based approaches have gained significant attention in research due to their non-contact nature. We present a binocular vision-based approach for measuring the three-dimensional vibration of the robotic arm's end effector. The technique utilizes sub-pixel corner detection technology, a video motion magnification algorithm, and an improved optical flow tracking algorithm that integrates Kalman filtering and the Hungarian algorithm. Through experimental analysis of robotic arm end-effector vibrations, the visual algorithm's output was validated against contact sensor data, confirming its efficacy in detecting microvibrations. The experimental results demonstrate that this method can achieve a high-precision measurement of minute vibrations, with a measurement accuracy of 0.01 mm. Additionally, experimental results under different load conditions indicate that the vibration frequencies of the three axes of the robot arm's end effector are concentrated around a specific frequency, further demonstrating that the end vibration frequency of the robot arm is not directly related to the magnitude of the applied load.
Author Fang, Lijin
Qian, Yian
Zhao, Qiankun
Wang, Chao
Author_xml – sequence: 1
  givenname: Chao
  surname: Wang
  fullname: Wang, Chao
  email: wangchaomail202207@163.com
  organization: Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China
– sequence: 2
  givenname: Lijin
  surname: Fang
  fullname: Fang, Lijin
  email: ljfang@mail.neu.edu.cn
  organization: Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China
– sequence: 3
  givenname: Qiankun
  surname: Zhao
  fullname: Zhao, Qiankun
  email: robokun@qq.com
  organization: Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China
– sequence: 4
  givenname: Yian
  surname: Qian
  fullname: Qian, Yian
  email: qianyian_0315@163.com
  organization: Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China
BookMark eNo1kMFKAzEYhKMoWGvfwENeYGv-JJtNjnXZaqFSqKUXDyWb_QORdlOyUfHtXVBPM8wM32FuyVUfeySEApsDMPNQL-ptoxRImHPGyzEEMIqxCzIzldFCQMm4luKSTLgxVaF4pW_IbBjeGWOCMzF2E_K2D22yOcSevqAdPhKesM80erqNbcy06bui8R5djok-2gE7Ok5Xp3OKn6PfnHNw9kiXx_hFQ09fMyaMdB-GkXhHrr09Djj70ynZLZtd_VysN0-rerEughG5kMiQ29aVUgBY1oLT6DRoLMFIpbwD5kpRacFLby1yZpCjl0530lSqAjEl97_YgIiHcwonm74P_3eIH44SVjk
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/CACRE66141.2025.11119600
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798331502843
EISSN 2997-6278
EndPage 28
ExternalDocumentID 11119600
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i93t-4e0e2abc54311a0b1c8ec818e519466fc10c5378325faae209e2ef4c8d4976713
IEDL.DBID RIE
IngestDate Wed Aug 27 07:37:54 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i93t-4e0e2abc54311a0b1c8ec818e519466fc10c5378325faae209e2ef4c8d4976713
PageCount 6
ParticipantIDs ieee_primary_11119600
PublicationCentury 2000
PublicationDate 2025-July-16
PublicationDateYYYYMMDD 2025-07-16
PublicationDate_xml – month: 07
  year: 2025
  text: 2025-July-16
  day: 16
PublicationDecade 2020
PublicationTitle International Conference on Automation, Control and Robotics Engineering (Online)
PublicationTitleAbbrev CACRE
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003203843
Score 1.9200587
Snippet In the high-precision operation of industrial robotic arms, vibrations can reduce the accuracy of the end-effector trajectory. To achieve vibration...
SourceID ieee
SourceType Publisher
StartPage 23
SubjectTerms Accuracy
End effectors
Frequency measurement
high-precision measurements
industrial robotic arms
Kalman filtering
Kalman filters
Optical flow
Robot sensing systems
Service robots
sub-pixel corner detection
three-dimensional vibration measurement
Trajectory
Vibration measurement
Vibrations
Title Vibration Measurement of Robot End-Effector Based on Improved Optical Flow in Stereo Vision
URI https://ieeexplore.ieee.org/document/11119600
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fS8MwEA66J59UnPibPPiaLm3TLnnUsTEEp8w5Bj6MJL3CUJoxOgT_ei_tuqEg-BZCE8Id4bv7et-FkFspMAaQuWRaxSnDCByYsVHIMmMMt2E31NZrhx9H6fBVPMyS2UasXmlhAKAqPoPAD6t_-Zmza0-Vdfz1xogbM_T9blfVYq0toRJHPJYibqp1uOr07nrjvscfnwdGSdAs__GQSoUjg0Myak5Ql4-8B-vSBPbrV3PGfx_xiLR3kj36vAWjY7IHxQl5m_pk2JuePu64QOpyOnbGlbRfZKxuX-xW9B7xLKP4ac0z4PhpWRHddPDhPumioC_oA3B0WsnR22Qy6E96Q7Z5TYEtVFwyARwibazXvoeam9BKsIjWgCGcSNPchtwmcRcveJJrDRFXEEEurMwERiyYyp6SVuEKOCPU8lxpyDLcTAptQaJXcx0rqaVWVptz0vaGmS_rfhnzxiYXf8xfkgPvH8-YhukVaZWrNVwj1JfmpnLxN43yqWo
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NSwMxEA2iBz2pWPHbHLxmm93NbrNHLS1V2yq1loKHkmRnoSibUrYI_nonu_1AQfAWQghhhvBmXuZNCLmRAmMAmUmmkjBmGIED0ybwWaq15sZv-Mo47XCvH3dexcM4Gi_F6qUWBgDK4jPw3LB8y0-tWTiqrO6uN0bcmKHvRJhWNCq51ppSCQMeShGu6nV4Um_eNgcth0AuEwwib7XBj69USiRp75P-6gxVAcm7tyi0Z75-tWf89yEPSG0j2qPPazg6JFuQH5G3kUuHnfFpb8MGUpvRgdW2oK08ZVUDYzund4hoKcWlFdOA46dZSXXT9of9pNOcvqAXwNJRKUivkWG7NWx22PI_BTZNwoIJ4BAobZz63Vdc-0aCQbwGDOJEHGfG5yYKG3jFo0wpCHgCAWTCyFRgzILJ7DHZzm0OJ4QaniUK0hQ3k0IZkOjXTIWJVFIlRulTUnOGmcyqjhmTlU3O_pi_JrudYa876d73H8_JnvOV40_9-IJsF_MFXCLwF_qqdPc3o_Ssuw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=International+Conference+on+Automation%2C+Control+and+Robotics+Engineering+%28Online%29&rft.atitle=Vibration+Measurement+of+Robot+End-Effector+Based+on+Improved+Optical+Flow+in+Stereo+Vision&rft.au=Wang%2C+Chao&rft.au=Fang%2C+Lijin&rft.au=Zhao%2C+Qiankun&rft.au=Qian%2C+Yian&rft.date=2025-07-16&rft.pub=IEEE&rft.eissn=2997-6278&rft.spage=23&rft.epage=28&rft_id=info:doi/10.1109%2FCACRE66141.2025.11119600&rft.externalDocID=11119600