Evidence map›Paper›PMID 34372335›Full record

ArticleSensors (Basel, Switzerland)2021

A Soft Tactile Sensor Based on Magnetics and Hybrid Flexible-Rigid Electronics.

Miguel Neto, Pedro Ribeiro, Ricardo Nunes, Lorenzo Jamone, Alexandre Bernardino, Susana Cardoso

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Flexible Magnetic Sensors.Sensors (Basel, Switzerland) · 2023
    Review
  4. Review
  5. Article
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

6 authors at 2 institutions in 2 countries.

Miguel NetoInstituto de Engenharia de Sistemas e Computadores-Microsistemas e Nanotecnologias, 1000-019 Lisbon, Portugal.
Pedro RibeiroInstituto de Engenharia de Sistemas e Computadores-Microsistemas e Nanotecnologias, 1000-019 Lisbon, Portugal.
Ricardo NunesInstituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal.
Lorenzo JamoneAdvanced Robotics at Queen Mary, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.ORCID 0000-0002-1521-6168
Alexandre BernardinoInstituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal.ORCID 0000-0003-3991-1269
Susana CardosoInstituto de Engenharia de Sistemas e Computadores-Microsistemas e Nanotecnologias, 1000-019 Lisbon, Portugal.ORCID 0000-0001-6913-6529
University of Lisbon · PTQueen Mary University of London · GB

Funding

Fundação para a Ciência e a Tecnologia PD/BD/105933/2014Fundação para a Ciência e a Tecnologia SFRH/BD/130384/2017
6 · The paper itself

Abstract

Tactile sensing is crucial for robots to manipulate objects successfully. However, integrating tactile sensors into robotic hands is still challenging, mainly due to the need to cover small multi-curved surfaces with several components that must be miniaturized. In this paper, we report the design of a novel magnetic-based tactile sensor to be integrated into the robotic hand of the humanoid robot Vizzy. We designed and fabricated a flexible 4 × 2 matrix of Si chips of magnetoresistive spin valve sensors that, coupled with a single small magnet, can measure contact forces from 0.1 to 5 N on multiple locations over the surface of a robotic fingertip; this design is innovative with respect to previous works in the literature, and it is made possible by careful engineering and miniaturization of the custom-made electronic components that we employ. In addition, we characterize the behavior of the sensor through a COMSOL simulation, which can be used to generate optimized designs for sensors with different geometries.

Indexed as

RoboticsTouchElectronicsFingersMagnetic Phenomenaflexible hybrid electronicsmagnetic tactile sensor

Identifiers

PMID34372335
PMCPMC8347232
OpenAlexW3185021077

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.