Assessment of Operation Quality for Robotic Manipulator in Real-Time

Robotic manipulators are widely employed in industry for automating repetitive tasks. A particular use case is sorting of waste materials. Movement of such a manipulator is subject for control since defects can occur during the operation. The assessment of operation quality can be also delegated fro...

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Main Authors: Nikita Bazhenov, Grigorij Einovich Rego, Egor Rybin, Dmitry Korzun
Format: Article
Language:English
Published: FRUCT 2023-11-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/volume-34/acm34/files/Baz.pdf
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author Nikita Bazhenov
Grigorij Einovich Rego
Egor Rybin
Dmitry Korzun
author_facet Nikita Bazhenov
Grigorij Einovich Rego
Egor Rybin
Dmitry Korzun
author_sort Nikita Bazhenov
collection DOAJ
description Robotic manipulators are widely employed in industry for automating repetitive tasks. A particular use case is sorting of waste materials. Movement of such a manipulator is subject for control since defects can occur during the operation. The assessment of operation quality can be also delegated from human to machine based on the progress in Artificial Intelligence (AI). In this demo, we consider video-based assessment as a promising approach for industrial robotics. We demonstrate our computer vision-based procedure for assessing the operation quality of a robotic manipulator. The experimental setup uses a single camera to detect successful and unsuccessful manipulations with objects, including the object loss during transmission in real time.
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spelling doaj.art-81b9c80533f543d78cac018f0e93a71e2024-01-15T12:32:23ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372023-11-01342203https://youtu.be/XFfPY14r7SU10.5281/zenodo.10426302Assessment of Operation Quality for Robotic Manipulator in Real-TimeNikita Bazhenov0Grigorij Einovich Rego1Egor Rybin2Dmitry Korzun3Petrozavodsk State UniversityPetrozavodsk State UniversityPetrozavodsk State UniversityPetrozavodsk State UniversityRobotic manipulators are widely employed in industry for automating repetitive tasks. A particular use case is sorting of waste materials. Movement of such a manipulator is subject for control since defects can occur during the operation. The assessment of operation quality can be also delegated from human to machine based on the progress in Artificial Intelligence (AI). In this demo, we consider video-based assessment as a promising approach for industrial robotics. We demonstrate our computer vision-based procedure for assessing the operation quality of a robotic manipulator. The experimental setup uses a single camera to detect successful and unsuccessful manipulations with objects, including the object loss during transmission in real time.https://www.fruct.org/publications/volume-34/acm34/files/Baz.pdfrobotic manipulatorscomputer visionquality of a robotic manipulator
spellingShingle Nikita Bazhenov
Grigorij Einovich Rego
Egor Rybin
Dmitry Korzun
Assessment of Operation Quality for Robotic Manipulator in Real-Time
Proceedings of the XXth Conference of Open Innovations Association FRUCT
robotic manipulators
computer vision
quality of a robotic manipulator
title Assessment of Operation Quality for Robotic Manipulator in Real-Time
title_full Assessment of Operation Quality for Robotic Manipulator in Real-Time
title_fullStr Assessment of Operation Quality for Robotic Manipulator in Real-Time
title_full_unstemmed Assessment of Operation Quality for Robotic Manipulator in Real-Time
title_short Assessment of Operation Quality for Robotic Manipulator in Real-Time
title_sort assessment of operation quality for robotic manipulator in real time
topic robotic manipulators
computer vision
quality of a robotic manipulator
url https://www.fruct.org/publications/volume-34/acm34/files/Baz.pdf
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AT egorrybin assessmentofoperationqualityforroboticmanipulatorinrealtime
AT dmitrykorzun assessmentofoperationqualityforroboticmanipulatorinrealtime