Evidence map›Paper›PMID 39167331›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping.

Jorge Badilla-Solórzano, Sontje Ihler, Thomas Seel

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. 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

3 authors.

Jorge Badilla-SolórzanoInstitute of Mechatronic Systems, Leibniz University Hannover, Hannover, Germany. jorge.badilla@imes.uni-hannover.de.ORCID http://orcid.org/0000-0003-4216-1016
Sontje IhlerInstitute of Mechatronic Systems, Leibniz University Hannover, Hannover, Germany.ORCID http://orcid.org/0000-0002-7495-3141
Thomas SeelInstitute of Mechatronic Systems, Leibniz University Hannover, Hannover, Germany.ORCID http://orcid.org/0000-0002-6920-1690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA fundamental task of a robotic scrub nurse is handling surgical instruments. Thus, a gripper capable of consistently grasping a wide variety of tools is essential. We introduce a novel gripper that combines granular jamming and pinching technologies to achieve a synergistic improvement in surgical instrument grasping.

methodsA reliable hybrid gripper is constructed by integrating a pinching mechanism and a standard granular jamming gripper, achieving enhanced granular interlocking. For our experiments, our prototype is affixed to the end-effector of a collaborative robot. A novel grasping strategy is proposed and utilized to evaluate the robustness and performance of our prototype on 18 different surgical tools with diverse geometries.

resultsIt is demonstrated that the integration of the pinching mechanism significantly enhances grasping performance compared with standard granular jamming grippers, with a success rate above 98%. It is shown that with the combined use of our gripper with an underlying grid, i.e., a complementary device placed beneath the instruments, robustness and performance are further enhanced.

conclusionOur prototype's performance in surgical instrument grasping stands on par with, if not surpasses, that of comparable contemporary studies, ensuring its competitiveness. Our gripper proves to be robust, cost-effective, and simple, requiring no instrument-specific grasping strategies. Future research will focus on addressing the sterilizability of our prototype and assessing the viability of the introduced grid for intra-operative use.

Indexed as

Equipment DesignRobotic Surgical ProceduresHand StrengthHumansSurgical InstrumentsGranular jamming gripperHybrid gripperRobot-assisted surgeryRobotic scrub nurseSurgical instrument grasping

Identifiers

PMID39167331
PMCPMC11607091

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.