Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications.

assembly deformable objects grasping manipulation performance benchmarks

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2022
Historique:
received: 20 07 2022
accepted: 25 10 2022
entrez: 8 12 2022
pubmed: 9 12 2022
medline: 9 12 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36478670
doi: 10.3389/frobt.2022.999348
pii: 999348
pmc: PMC9720326
doi:

Types de publication

Journal Article

Langues

eng

Pagination

999348

Informations de copyright

Copyright © 2022 Kimble, Albrecht, Zimmerman and Falco.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

IEEE Robot Autom Lett. 2020;5(2):
pubmed: 33029555

Auteurs

Kenneth Kimble (K)

National Institute of Standards and Technology, Gaithersburg, MD, United States.

Justin Albrecht (J)

National Institute of Standards and Technology, Gaithersburg, MD, United States.

Megan Zimmerman (M)

National Institute of Standards and Technology, Gaithersburg, MD, United States.

Joe Falco (J)

National Institute of Standards and Technology, Gaithersburg, MD, United States.

Classifications MeSH