Evidence map›Paper›PMID 41516611›Full record

ArticleSensors (Basel, Switzerland)2025

Advancing Home Rehabilitation: The PlanAID Robot's Approach to Upper-Body Exercise Through Impedance Control.

David Breton, Thierry Laliberté, Andréanne K Blanchette, Alexandre Campeau-Lecours

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

4 authors.

David BretonCentre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale (Cirris), Quebec City, QC G1M 2S8, Canada.ORCID 0009-0001-9861-3176
Thierry LalibertéRobotics Laboratory, Department of Mechanical Engineering, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0001-9496-4369
Andréanne K BlanchetteCentre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale (Cirris), Quebec City, QC G1M 2S8, Canada.ORCID 0000-0003-4028-2957
Alexandre Campeau-LecoursCentre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale (Cirris), Quebec City, QC G1M 2S8, Canada.ORCID 0000-0001-6766-3368

Funding

Fonds de Recherche du Québec : Nature et Technologies 331022Fonds de recherche du Québec - Santé 251649Natural Sciences and Engineering Research Council of Canada 574087
6 · The paper itself

Abstract

Rehabilitation robots are a leading solution towards bridging the gap between the growing number of rehabilitation patients requiring therapy and the limited availability of healthcare professionals. However, existing robotic systems are often bulky and expensive, limiting their ability to provide widespread, repetitive, and intensive exercises. This paper presents the development of an impedance-based control strategy designed to provide safe and compliant upper-body passive and active exercises on the low-cost PlanAID robot, which is built using consumer-grade components. The system's functionalities are evaluated using a high-precision force sensor. Results show that the PlanAID exhibits performance comparable to seminal devices such as the MIT-Manus, achieving a similar applicable reaction force target of 28 N and reflected inertia of 1.1 kg. Although the overall performance is comparable, the low-cost PlanAID prototype suffers from reduced coupled stability margins, limiting the maximum achievable virtual spring constant to 1100 N/m. Despite this limitation, the stiffness values required in practical applications remain low, suggesting that the PlanAID could potentially be a viable candidate for real-world rehabilitation. Initial user feedback was obtained through a preliminary qualitative trial involving healthy subjects.

Indexed as

ExerciseExercise TherapyRehabilitationRoboticsElectric ImpedanceHumanscontrol engineeringforce sensingimpedance controlmotor learningrehabilitation engineeringrehabilitation robotics

Identifiers

PMID41516611
PMCPMC12788063

What OpenQuestion holds

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LicenceCC BY
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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.