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Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications
The National Institute of Standards and Technology is developing performance tests and associated artifacts to benchmark research in the area of robotic assembly. Sets of components consistent with mechanical assemblies including screws, gears, electrical connectors, wires, and belts are configured...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720326/ https://www.ncbi.nlm.nih.gov/pubmed/36478670 http://dx.doi.org/10.3389/frobt.2022.999348 |
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author | Kimble, Kenneth Albrecht, Justin Zimmerman, Megan Falco, Joe |
author_facet | Kimble, Kenneth Albrecht, Justin Zimmerman, Megan Falco, Joe |
author_sort | Kimble, Kenneth |
collection | PubMed |
description | The National Institute of Standards and Technology is developing performance tests and associated artifacts to benchmark research in the area of robotic assembly. Sets of components consistent with mechanical assemblies including screws, gears, electrical connectors, wires, and belts are configured for assembly or disassembly using a task board concept. Test protocols accompany the task boards and are designed to mimic low-volume, high-mixture assembly challenges typical to small and medium sized manufacturers. In addition to the typical rigid components found in assembled products, the task boards include many non-rigid component operations representative of wire harness and belt drive assemblies to support research in the area of grasping and manipulation of deformable objects, an area still considered to be an emerging research problem in robotics. A set of four primary task boards as well as competition task boards are presented as benchmarks along with scoring metrics and a method to compare robot system assembly times with human performance. Competitions are used to raise awareness to these benchmarks. Tools to progress and compare research are described along with emphasis placed on system competition-based solutions to grasp and manipulate deformable task board components. |
format | Online Article Text |
id | pubmed-9720326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97203262022-12-06 Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications Kimble, Kenneth Albrecht, Justin Zimmerman, Megan Falco, Joe Front Robot AI Robotics and AI The National Institute of Standards and Technology is developing performance tests and associated artifacts to benchmark research in the area of robotic assembly. Sets of components consistent with mechanical assemblies including screws, gears, electrical connectors, wires, and belts are configured for assembly or disassembly using a task board concept. Test protocols accompany the task boards and are designed to mimic low-volume, high-mixture assembly challenges typical to small and medium sized manufacturers. In addition to the typical rigid components found in assembled products, the task boards include many non-rigid component operations representative of wire harness and belt drive assemblies to support research in the area of grasping and manipulation of deformable objects, an area still considered to be an emerging research problem in robotics. A set of four primary task boards as well as competition task boards are presented as benchmarks along with scoring metrics and a method to compare robot system assembly times with human performance. Competitions are used to raise awareness to these benchmarks. Tools to progress and compare research are described along with emphasis placed on system competition-based solutions to grasp and manipulate deformable task board components. Frontiers Media S.A. 2022-11-21 /pmc/articles/PMC9720326/ /pubmed/36478670 http://dx.doi.org/10.3389/frobt.2022.999348 Text en Copyright © 2022 Kimble, Albrecht, Zimmerman and Falco. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Kimble, Kenneth Albrecht, Justin Zimmerman, Megan Falco, Joe Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title | Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title_full | Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title_fullStr | Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title_full_unstemmed | Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title_short | Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
title_sort | performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720326/ https://www.ncbi.nlm.nih.gov/pubmed/36478670 http://dx.doi.org/10.3389/frobt.2022.999348 |
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