Evidence map›Paper›PMID 42787471›Full record

ArticleFrontiers in robotics and AI2026

Retired medical simulation manikins as a development platform for physically assistive robots: a staged roadmap.

Nabil Zary, Jalal Alfroukh, Mohamed Alali

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2026. 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

3 authors.

Nabil ZaryInstitute of Learning, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, United Arab Emirates.
Jalal AlfroukhInstitute of Learning, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, United Arab Emirates.
Mohamed AlaliInstitute of Learning, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physically assistive robots require body designs that ensure safe contact, build trust, and are cost-effective for healthcare providers. However, dedicated platforms often struggle to achieve all three simultaneously. We suggest that high-fidelity medical simulation manikins could serve as a practical development platform in this field. These manikins have an anthropomorphic shape with human-like contact surfaces, internal space for routing cables and mounting devices, and are familiar to clinical staff. Because simulation programs frequently replace their functional units, this hardware can be deployed directly within the institutions that need assistance. Based on a scoping review of 64 studies on manikin adaptation and a pilot project that transformed a retired manikin into a multilingual receptionist for about US$1,200 in additional parts, we propose a staged roadmap: social and cognitive interaction, sensory enhancement, guided physical contact, and active physical assistance, with measurable stage gates governing each transition. The pilot demonstrates only feasibility for conversational and embedded computing, not physical assistance or user acceptance. We recognize limitations, including the need for new load paths, certification under ISO 13482 and related standards, and prospective ethics approval in later stages. Additionally, the realistic appearance of the manikin may pose risks, as added motion to a static, humanlike form can cause discomfort. This roadmap aims to turn these uncertainties into testable hypotheses using an affordable platform and to encourage the assistive robotics community to view the simulation storeroom as a valuable resource.

Indexed as

healthcare roboticshuman-centered designhuman-robot interactionmanikin repurposingmedical simulation manikinsphysically assistive robots

Identifiers

PMID42787471
PMCPMC13601330

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.