Evidence map›Paper›PMID 37501744›Full record

ArticleFrontiers in robotics and AI2023

Vitrimeric shape memory polymer-based fingertips for adaptive grasping.

Seyedreza Kashef Tabrizian, Walter Alabiso, Usman Shaukat, Seppe Terryn, Elisabeth Rossegger, Joost Brancart, Julie Legrand, Sandra Schlögl, Bram Vanderborght

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Seyedreza Kashef TabrizianBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Walter AlabisoPolymer Competence Center Leoben GmbH, Leoben, Austria.
Usman ShaukatPolymer Competence Center Leoben GmbH, Leoben, Austria.
Seppe TerrynBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Elisabeth RosseggerPolymer Competence Center Leoben GmbH, Leoben, Austria.
Joost BrancartPhysical Chemistry and Polymer Science (FYSC), Brussels, Belgium.
Julie LegrandBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Sandra SchlöglPolymer Competence Center Leoben GmbH, Leoben, Austria.
Bram VanderborghtBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Polymer Competence Center Leoben (Austria) · ATVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

adaptive graspingadditive manufacturingmanipulationshape adaptive fingertipshape memory polymer

Identifiers

PMID37501744
PMCPMC10369050
OpenAlexW4384024971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.