Vitrimeric shape memory polymer-based fingertips for adaptive grasping.
adaptive grasping
additive manufacturing
manipulation
shape adaptive fingertip
shape memory polymer
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:
2023
2023
Historique:
received:
16
04
2023
accepted:
30
06
2023
medline:
28
7
2023
pubmed:
28
7
2023
entrez:
28
7
2023
Statut:
epublish
Résumé
The variability in the shapes and sizes of objects presents a significant challenge for two-finger robotic grippers when it comes to manipulating them. Based on the chemistry of vitrimers (a new class of polymer materials that have dynamic covalent bonds, which allow them to reversibly change their mechanical properties under specific conditions), we present two designs as 3D-printed shape memory polymer-based shape-adaptive fingertips (SMP-SAF). The fingertips have two main properties needed for an effective grasping. First, the ability to adapt their shape to different objects. Second, exhibiting variable rigidity, to lock and retain this new shape without the need for any continuous external triggering system. Our two design strategies are: 1) A curved part, which is suitable for grasping delicate and fragile objects. In this mode and prior to gripping, the SMP-SAFs are straightened by the force of the parallel gripper and are adapted to the object by shape memory activation. 2) A straight part that takes on the form of the objects by contact force with them. This mode is better suited for gripping hard bodies and provides a more straightforward shape programming process. The SMP-SAFs can be programmed by heating them up above glass transition temperature (54°C) via Joule-effect of the integrated electrically conductive wire or by using a heat gun, followed by reshaping by the external forces (without human intervention), and subsequently fixing the new shape upon cooling. As the shape programming process is time-consuming, this technique suits adaptive sorting lines where the variety of objects is not changed from grasp to grasp, but from batch to batch.
Identifiants
pubmed: 37501744
doi: 10.3389/frobt.2023.1206579
pii: 1206579
pmc: PMC10369050
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1206579Informations de copyright
Copyright © 2023 Kashef Tabrizian, Alabiso, Shaukat, Terryn, Rossegger, Brancart, Legrand, Schlögl and Vanderborght.
Déclaration de conflit d'intérêts
Authors WA, US, ER, and SS are employed by PCCL. The remaining 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
Soft Robot. 2020 Jun;7(3):283-291
pubmed: 31750782
Molecules. 2021 Jan 20;26(3):
pubmed: 33498348
Chem Sci. 2016 Jan 1;7(1):30-38
pubmed: 28757995
Sci Adv. 2020 Feb 14;6(7):eaay5120
pubmed: 32110730
Adv Mater. 2018 May 7;:e1707035
pubmed: 29736928
Adv Mater. 2021 Feb;33(6):e2000713
pubmed: 32969090
Nat Commun. 2021 Dec 14;12(1):7177
pubmed: 34907178
Adv Sci (Weinh). 2022 May;9(15):e2104402
pubmed: 35343110
Sci Adv. 2020 Jan 31;6(5):eaax1464
pubmed: 32064332
Proc Natl Acad Sci U S A. 2017 Feb 28;114(9):2143-2148
pubmed: 28193902
Molecules. 2020 Sep 16;25(18):
pubmed: 32947872
Polymers (Basel). 2020 Jul 26;12(8):
pubmed: 32722554
ACS Appl Mater Interfaces. 2020 Sep 30;12(39):44147-44155
pubmed: 32870646
Front Robot AI. 2021 Mar 26;8:640805
pubmed: 33842557