Evidence map›Paper›PMID 37463918›Full record

ArticleNature communications2023

Coherent movement of error-prone individuals through mechanical coupling.

Federico Pratissoli, Andreagiovanni Reina, Yuri Kaszubowski Lopes, Carlo Pinciroli, Genki Miyauchi, Lorenzo Sabattini, Roderich Groß

Abstract read
In one paragraph

Article in Nature communications, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Federico PratissoliDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy.
Andreagiovanni ReinaDepartment of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.ORCID 0000-0003-4745-992X
Yuri Kaszubowski LopesDepartment of Computer Science, Santa Catarina State University, Joinville, Brazil.ORCID 0000-0002-4627-5590
Carlo PinciroliDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
Genki MiyauchiDepartment of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.
Lorenzo SabattiniDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0002-2734-5549
Roderich GroßDepartment of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK. r.gross@sheffield.ac.uk.ORCID 0000-0003-1826-1375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate how reliable movement can emerge in aggregates of highly error-prone individuals. The individuals-robotic modules-move stochastically using vibration motors. By coupling them via elastic links, soft-bodied aggregates can be created. We present distributed algorithms that enable the aggregates to move and deform reliably. The concept and algorithms are validated through formal analysis of the elastic couplings and experiments with aggregates comprising up to 49 physical modules-among the biggest soft-bodied aggregates to date made of autonomous modules. The experiments show that aggregates with elastic couplings can shrink and stretch their bodies, move with a precision that increases with the number of modules, and outperform aggregates with no, or rigid, couplings. Our findings demonstrate that mechanical couplings can play a vital role in reaching coherent motion among individuals with exceedingly limited and error-prone abilities, and may pave the way for low-power, stretchable robots for high-resolution monitoring and manipulation.

Indexed as

MovementRoboticsAlgorithmsHumansMotionVibration

Identifiers

PMID37463918
PMCPMC10354013

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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.