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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...

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Detalles Bibliográficos
Autores principales: Kimble, Kenneth, Albrecht, Justin, Zimmerman, Megan, Falco, Joe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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