Evidence map›Paper›PMID 37050768›Full record

ArticleSensors (Basel, Switzerland)2023

Modeling of and Experimenting with Concentric Tube Robots: Considering Clearance, Friction and Torsion.

Tianxiang Liu, Gang Zhang, Peng Zhang, Tianyu Cheng, Zijie Luo, Shengsong Wang, Fuxin Du

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
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

7 authors.

Tianxiang LiuSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID 0009-0008-7362-6772
Gang ZhangSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID 0000-0001-9843-1818
Peng ZhangSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Tianyu ChengSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Zijie LuoSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Shengsong WangShandong Center for Food and Drug Evaluation & Inspection, Jinan 250014, China.
Fuxin DuSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID 0000-0001-9781-9677

Funding

National Key Research and Development Program of China under Grant 2022YFB4703000Shandong Provincial Postdoctoral Innovative Talents Funded Scheme 238226the Fundamental Research Funds for the Central Universities and the Young Scholars Program of Shandong University nonethe Intelligent Robots and Systems Highprecision Innovation Center Open Fund 2019IRS06the Key Research and Development Program of Shandong Province 2022CXGC010503
6 · The paper itself

Abstract

Concentric tube robots (CTRs) are a promising prospect for minimally invasive surgery due to their inherent compliance and ability to navigate in constrained environments. Existing mechanics-based kinematic models typically neglect friction, clearance, and torsion between each pair of contacting tubes, leading to large positioning errors in medical applications. In this paper, an improved kinematic modeling method is developed. The effect of clearance on tip position during concentric tube assembly is compensated by the database method. The new kinematic model is mechanic-based, and the impact of friction moment and torsion on tubes is considered. Integrating the infinitesimal torsion of the concentric tube robots eliminates the errors caused by the interaction force between the tubes. A prototype is built, and several experiments with kinematic models are designed. The results indicate that the error of tube rotations is less than 2 mm. The maximum error of the feeding experiment does not exceed 0.4 mm. The error of the new modeling method is lower than that of the previous kinematic model. This paper has substantial implications for the high-precision and real-time control of concentric tube robots.

Indexed as

compensationconcentric tube robotsdatabasefrictional analysismodeling

Identifiers

PMID37050768
PMCPMC10099042

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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.