PickingDK: A Framework for Industrial Bin-Picking Applications

This work presents an industrial bin-picking framework for robotics called PickingDK. The proposed framework employs a plugin based architecture, which allows it to integrate different types of sensors, robots, tools, and available open-source software and state-of-the-art methods. It standardizes t...

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Main Authors: Marco Ojer, Xiao Lin, Antonio Tammaro, Jairo R. Sanchez
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/18/9200
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author Marco Ojer
Xiao Lin
Antonio Tammaro
Jairo R. Sanchez
author_facet Marco Ojer
Xiao Lin
Antonio Tammaro
Jairo R. Sanchez
author_sort Marco Ojer
collection DOAJ
description This work presents an industrial bin-picking framework for robotics called PickingDK. The proposed framework employs a plugin based architecture, which allows it to integrate different types of sensors, robots, tools, and available open-source software and state-of-the-art methods. It standardizes the bin-picking process with a unified workflow based on generally defined plugin interfaces, which promises the hybridization of functional/virtual plugins for fast prototyping and proof-of-concept. It also offers different levels of controls according to the user’s expertise. The presented use cases demonstrate flexibility when building bin-picking applications under PickingDK framework and the convenience of exploiting hybrid style prototypes for evaluating specific steps in a bin-picking system, such as parameter fine-tuning and picking cell design.
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spelling doaj.art-d80d8e8657284884ac8470c61a89d1222023-11-23T14:54:36ZengMDPI AGApplied Sciences2076-34172022-09-011218920010.3390/app12189200PickingDK: A Framework for Industrial Bin-Picking ApplicationsMarco Ojer0Xiao Lin1Antonio Tammaro2Jairo R. Sanchez3Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia, SpainVicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia, SpainFreelance, 00055 Ladispoli, ItalyVicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia, SpainThis work presents an industrial bin-picking framework for robotics called PickingDK. The proposed framework employs a plugin based architecture, which allows it to integrate different types of sensors, robots, tools, and available open-source software and state-of-the-art methods. It standardizes the bin-picking process with a unified workflow based on generally defined plugin interfaces, which promises the hybridization of functional/virtual plugins for fast prototyping and proof-of-concept. It also offers different levels of controls according to the user’s expertise. The presented use cases demonstrate flexibility when building bin-picking applications under PickingDK framework and the convenience of exploiting hybrid style prototypes for evaluating specific steps in a bin-picking system, such as parameter fine-tuning and picking cell design.https://www.mdpi.com/2076-3417/12/18/9200roboticsbin pickingmanufacturing
spellingShingle Marco Ojer
Xiao Lin
Antonio Tammaro
Jairo R. Sanchez
PickingDK: A Framework for Industrial Bin-Picking Applications
Applied Sciences
robotics
bin picking
manufacturing
title PickingDK: A Framework for Industrial Bin-Picking Applications
title_full PickingDK: A Framework for Industrial Bin-Picking Applications
title_fullStr PickingDK: A Framework for Industrial Bin-Picking Applications
title_full_unstemmed PickingDK: A Framework for Industrial Bin-Picking Applications
title_short PickingDK: A Framework for Industrial Bin-Picking Applications
title_sort pickingdk a framework for industrial bin picking applications
topic robotics
bin picking
manufacturing
url https://www.mdpi.com/2076-3417/12/18/9200
work_keys_str_mv AT marcoojer pickingdkaframeworkforindustrialbinpickingapplications
AT xiaolin pickingdkaframeworkforindustrialbinpickingapplications
AT antoniotammaro pickingdkaframeworkforindustrialbinpickingapplications
AT jairorsanchez pickingdkaframeworkforindustrialbinpickingapplications