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
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

1206579

Informations 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.

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Auteurs

Seyedreza Kashef Tabrizian (S)

Brubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.

Walter Alabiso (W)

Polymer Competence Center Leoben GmbH, Leoben, Austria.

Usman Shaukat (U)

Polymer Competence Center Leoben GmbH, Leoben, Austria.

Seppe Terryn (S)

Brubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Physical Chemistry and Polymer Science (FYSC), Brussels, Belgium.

Elisabeth Rossegger (E)

Polymer Competence Center Leoben GmbH, Leoben, Austria.

Joost Brancart (J)

Physical Chemistry and Polymer Science (FYSC), Brussels, Belgium.

Julie Legrand (J)

Brubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.

Sandra Schlögl (S)

Polymer Competence Center Leoben GmbH, Leoben, Austria.

Bram Vanderborght (B)

Brubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.

Classifications MeSH