Evidence map›Paper›PMID 42292046›Full record

ArticleFrontiers in robotics and AI2026

Workspace and trajectory-based experimental validation of a 3-armed 6-DOF parallel robot for femoral fracture surgery.

Alberto Gaytan, Adnan Khaleeli, Marzieh Sadat Saeedi-Hosseiny, Charalampos Papachristou, Iulian Ioan Iordachita, Mohammad H Abedin-Nasab

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Alberto GaytanSurgical Robotics Laboratory, Department of Biomedical Engineering, Rowan University, Camden, NJ, United States.
Adnan KhaleeliSurgical Robotics Laboratory, Department of Biomedical Engineering, Rowan University, Camden, NJ, United States.
Marzieh Sadat Saeedi-HosseinySurgical Robotics Laboratory, Department of Biomedical Engineering, Rowan University, Camden, NJ, United States.
Charalampos PapachristouDepartment of Mathematics, Rowan University, Glassboro, NJ, United States.
Iulian Ioan IordachitaLaboratory for Computational Sensing and Robotics, Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Mohammad H Abedin-NasabSurgical Robotics Laboratory, Department of Biomedical Engineering, Rowan University, Camden, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Femur fractures remain a significant occurrence in the general population, requiring immediate medical care (typically surgery) followed by extensive recovery time. Femur fracture reduction, defined as the process of realigning femur bone fragments, is currently performed manually, a task that is physically demanding and associated with high malalignment rates. Our surgical system Robossis, a 3-armed, 6-DOF parallel robot, is aimed at addressing these issues by exerting the necessary forces to eliminate the physical demand while facilitating proper fracture reduction. The new Robossis V2 system demonstrates improvements over our previous V1 system in both clinical usability and movement capabilities. In this work, we present an experimental validation of Robossis V2 through numerical workspace analysis and optical-tracking-based trajectory testing. Workspace evaluation shows that Robossis V2 provides substantial coverage beyond clinically required alignment ranges, with constrained translational and rotational workspace volumes approximately 136 times and 79 times larger than the required range, respectively. Across all collected trajectory data, Robossis V2 achieved consistent sub-millimeter translational and sub-degree rotational performance, with the 75th percentile of absolute errors remaining below 1 mm and 1

Indexed as

6-DOFbone alignmentfemur fracture reductionparallel robotssurgical roboticstrajectory testingworkspace analysis

Identifiers

PMID42292046
PMCPMC13259840

What OpenQuestion holds

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LicenceCC BY
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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.