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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Applied Sciences |
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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. |
first_indexed | 2024-03-10T00:49:24Z |
format | Article |
id | doaj.art-d80d8e8657284884ac8470c61a89d122 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T00:49:24Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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 |