Evidence map›Paper›PMID 35336503›Full record

ReviewSensors (Basel, Switzerland)2022

An Atlas for the Inkjet Printing of Large-Area Tactile Sensors.

Giulia Baldini, Alessandro Albini, Perla Maiolino, Giorgio Cannata

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Learning-based robotic grasping: A review.Frontiers in robotics and AI · 2023
    Review
  6. Review
  7. 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

4 authors.

Giulia BaldiniMechatronics and Automatic Control Laboratory, University of Genoa, 16145 Genova, Italy.ORCID 0000-0001-7299-1665
Alessandro AlbiniOxford Robotics Institute, Oxford OX2 6NN, UK.
Perla MaiolinoOxford Robotics Institute, Oxford OX2 6NN, UK.ORCID 0000-0002-7588-9567
Giorgio CannataMechatronics and Automatic Control Laboratory, University of Genoa, 16145 Genova, Italy.ORCID 0000-0001-7932-5411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to discuss the inkjet printing technique as a fabrication method for the development of large-area tactile sensors. The paper focuses on the manufacturing techniques and various system-level sensor design aspects related to the inkjet manufacturing processes. The goal is to assess how printed electronics simplify the fabrication process of tactile sensors with respect to conventional fabrication methods and how these contribute to overcoming the difficulties arising in the development of tactile sensors for real robot applications. To this aim, a comparative analysis among different inkjet printing technologies and processes is performed, including a quantitative analysis of the design parameters, such as the costs, processing times, sensor layout, and general system-level constraints. The goal of the survey is to provide a complete map of the state of the art of inkjet printing, focusing on the most effective topics for the implementation of large-area tactile sensors and a view of the most relevant open problems that should be addressed to improve the effectiveness of these processes.

Indexed as

ElectronicsTouchinkjet printinglarge arearobotictactile sensors

Identifiers

PMID35336503
PMCPMC8950613

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.