Evidence map›Paper›PMID 41708794›Full record

ArticleScientific reports2026

Hardware-independent control for partial gravity simulation using a 2-DOF robotic device.

Yoon Jae Kim, Sungwoo Park, Sungwan Kim

Abstract read
In one paragraph

Article in Scientific reports, 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.

Yoon Jae KimInstitute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, 03080, Korea.
Sungwoo ParkInterdisciplinary Program in Bioengineering, The Graduate School, Seoul National University, Seoul, 08826, Korea.
Sungwan KimInstitute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, 03080, Korea. sungwan@snu.ac.kr.

Funding

Industrial Technology Innovation R&D Program of MOTIE/KEIT 25421092Ministry of Health & Welfare, Republic of Korea HI19C1352National Research Foundation of Korea RS-2024-00458826
6 · The paper itself

Abstract

A variety of physiological changes in the human body have been observed to occur under the microgravity conditions of space. 3D clinostat devices capable of implementing time-averaged simulated microgravity (taSMG) have been widely used to predict these changes on Earth and to identify their underlying mechanisms. Recently, the concept of time-averaged simulated partial gravity (taSPG), which mimics the gravitational environments of the Moon (0.17 g) and Mars (0.38 g), has been proposed as an extension of taSMG, and clinostat control algorithms capable of implementing it have been developed. However, existing taSPG algorithms are dependent on specific hardware, limiting their versatility. Further, they are unable to generate taSPG levels exceeding 0.44 g. To address this limitation, we propose an improved control algorithm and validate it through both simulation and experiments. By applying an algorithm that does not depend on the characteristics of individual clinostat hardware, we confirmed the accurate implementation of taSPG up to 0.809 g. By adjusting the parameters, taSPG levels approaching 1 g can also be achieved. Notably, for taSPG in the range of 0.265 g to 0.635 g, the experimental values demonstrated refined accuracy with approximately 1% or less deviation from the simulation results.

Indexed as

GravitationRoboticsWeightlessness SimulationAlgorithmsComputer SimulationExtraterrestrial EnvironmentHumansMarsMoonSpace FlightWeightlessnessClinostatMarsMoonTime-averaged simulated microgravityTime-averaged simulated partial gravity

Identifiers

PMID41708794
PMCPMC13013931

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.