Evidence map›Paper›PMID 39409202›Full record

ArticleSensors (Basel, Switzerland)2024

Page Turning Using Assistive Robot with Low-Degree-of-Freedom Hand.

Hidetoshi Ikeda, Yuta Mizukami, Masahiro Sakamoto, Takumi Saeki, Hokyoo Lee, Masakazu Hori

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hidetoshi IkedaFaculty and Department of Engineering (Mechanical and System Engineering Field, Advanced Manufacturing Robotics and System Control Course), Niigata Institute of Technology, Kashiwazaki City 945-1103, Japan.ORCID 0000-0001-7249-9136
Yuta MizukamiNational Institute of Technology, Toyama College, Toyama 939-8045, Japan.
Masahiro SakamotoNational Institute of Technology, Toyama College, Toyama 939-8045, Japan.
Takumi SaekiNational Institute of Technology, Toyama College, Toyama 939-8045, Japan.
Hokyoo LeeFaculty and Department of Engineering (Mechanical and System Engineering Field, Advanced Manufacturing Robotics and System Control Course), Niigata Institute of Technology, Kashiwazaki City 945-1103, Japan.
Masakazu HoriFaculty and Department of Engineering (Mechanical and System Engineering Field, Advanced Manufacturing Robotics and System Control Course), Niigata Institute of Technology, Kashiwazaki City 945-1103, Japan.

Funding

Japan Society for the Promotion of Science KAKENHI 18K04070Japan Society for the Promotion of Science KAKENHI 22K04038
6 · The paper itself

Abstract

This paper proposes a page-turning strategy using an assistive robot that has a low-degree-of-freedom robotic hand. The robotic hand is based on human object handling characteristics, which significantly reduces the number of fingers and joints required to handle various objects. The robotic hand has right and left planar fingers that can transform their shape to handle various objects. To turn a page, the robot uses the planar fingers to push the surface of the page and then rotates the fingers. The design concept, mechanism, sensor system, strategy for page turning, and control system of the robotic hand are presented. The experimental results show that the robot can turn pages using the proposed method; however, it sometimes failed to turn the page when the robotic hand height was too low and too close to the book because the rotation of the fingers was stopped by the book. When the hand detects excessive force during page turning, the control system changes the shape of the fingers and releases the force from the book. The experimental results show the effectiveness of the control system.

Indexed as

assistive robotfoldable robotic handhand mechanismlow-degree-of-freedom robotic handpage-turning

Identifiers

PMID39409202
PMCPMC11478701

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.