Evidence map›Paper›PMID 33603591›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2020

A Dynamic Model for Concentric Tube Robots.

John Till, Vincent Aloi, Katherine E Riojas, Patrick L Anderson, Robert J Webster, Caleb Rucker

Abstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Review
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  8. Review
  9. Continuum Robots for Medical Interventions.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    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

6 authors.

John TillDepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN.
Vincent AloiDepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN.
Katherine E RiojasDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
Patrick L AndersonDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
Robert J WebsterDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
Caleb RuckerDepartment of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN.

Funding

Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Robot-Enabled Natural Orifice ProstatectomyR01EB026901 · NIBIB · VANDERBILT UNIVERSITY · PI HERRELL, S DUKE, WEBSTER, ROBERT JAMES · 2019 to 2022
$2.1M
NIBIB NIH HHS R01 EB026901NIBIB NIH HHS T32 EB021937
6 · The paper itself

Abstract

Existing static and kinematic models of concentric tube robots are based on the ordinary differential equations of a static Cosserat rod. In this paper, we provide the first dynamic model for concentric tube continuum robots by adapting the partial differential equations of a dynamic Cosserat rod to describe the coupled inertial dynamics of precurved concentric tubes. This generates an initial-boundary-value problem that can capture robot vibrations over time. We solve this model numerically at high time resolutions using implicit finite differences in time and arc length. This approach is capable of resolving the high-frequency torsional dynamics that occur during unstable "snapping" motions and provides a simulation tool that can track the true robot configuration through such transitions. Further, it can track slower oscillations associated with bending and torsion as a robot interacts with tissue at real-time speeds. Experimental verification of the model shows that this wide range of effects is captured efficiently and accurately.

Identifiers

PMID33603591
PMCPMC7885994

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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.