Evidence map›Paper›PMID 38982184›Full record

ArticleScientific reports2024

Human manipulation strategy when changing object deformability and task properties.

A Mazzeo, M Uliano, P Mucci, M Penzotti, L Angelini, F Cini, L Craighero, M Controzzi

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

A MazzeoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy. angela.mazzeo@santannapisa.it.
M UlianoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
P MucciThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
M PenzottiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
L AngeliniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
F CiniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
L Craighero *Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
M Controzzi *The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy. marco.controzzi@santannapisa.it.

Funding

Horizon 2020, Europena Commission 870142
6 · The paper itself

Abstract

Robotic literature widely addresses deformable object manipulation, but few studies analyzed human manipulation accounting for different levels of deformability and task properties. We asked participants to grasp and insert rigid and deformable objects into holes with varying tolerances and depths, and we analyzed the grasping behavior, the reaching velocity profile, and completion times. Results indicated that the more deformable the object is, the nearer the grasping point is to the extremity to be inserted. For insertions in the long hole, the selection of the grasping point is a trade-off between task accuracy and the number of re-grasps required to complete the insertion. The compliance of the deformable object facilitates the alignment between the object and the hole. The reaching velocity profile when increasing deformability recalls the one observed when task accuracy and precision decrease. Identifying human strategy allows the implementation of human-inspired high-level reasoning algorithms for robotic manipulation.

Indexed as

Hand StrengthRoboticsAdultAlgorithmsBiomechanical PhenomenaFemaleHumansMalePsychomotor PerformanceTask Performance and AnalysisYoung Adult

Identifiers

PMID38982184
PMCPMC11233673

What OpenQuestion holds

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Registered trials

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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.