Evidence map›Paper›PMID 39135738›Full record

ArticleFrontiers in robotics and AI2024

Investigating the performance of soft robotic adaptive feet with longitudinal and transverse arches.

Anna Pace, Giorgio Grioli, Alice Ghezzi, Antonio Bicchi, Manuel G Catalano

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Anna PaceSoft Robotics for Human Cooperation and Rehabilitation Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Giorgio GrioliSoft Robotics for Human Cooperation and Rehabilitation Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Alice GhezziSoft Robotics for Human Cooperation and Rehabilitation Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Antonio BicchiSoft Robotics for Human Cooperation and Rehabilitation Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Manuel G CatalanoSoft Robotics for Human Cooperation and Rehabilitation Lab, Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of adapting a robotic foot to ground irregularities along the sagittal plane. Building on the previous results, we propose in this paper a novel robotic foot able to adapt both in the sagittal and frontal planes, similarly to the human foot. It features five parallel modules with intrinsic longitudinal adaptability that can be combined in many possible designs through optional rigid or elastic connections. By following a methodological design approach, we narrow down the design space to five candidate foot designs and implement them on a modular system. Prototypes are tested experimentally via controlled application of force, through a robotic arm, onto a sensorized plate endowed with different obstacles. Their performance is compared, using also a rigid foot and the previous SoftFoot as a baseline. Analysis of footprint stability shows that the introduction of the transverse arch, by elastically connecting the five parallel modules, is advantageous for obstacle negotiation, especially when obstacles are located under the forefoot. In addition to biped robots' locomotion, this finding might also benefit lower-limb prostheses design.

Indexed as

adaptive footbiped locomotionbiped robotshumanoid robotslegged robotsrobotic footsoft robotics

Identifiers

PMID39135738
PMCPMC11317230

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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.