Evidence map›Paper›PMID 38524963›Full record

ArticleThe International journal of robotics research2024

Exceeding traditional curvature limits of concentric tube robots through redundancy resolution.

Patrick L Anderson, Richard J Hendrick, Margaret F Rox, Robert J Webster

Abstract read
In one paragraph

Article in The International journal of robotics research, 2024. 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. A System for Endoscopic Submucosal Dissection Featuring Concentric Push-Pull Manipulators.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2025
    Article
  3. 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

4 authors.

Patrick L AndersonVanderbilt University, Department of Mechanical Engineering.
Richard J HendrickVanderbilt University, Department of Mechanical Engineering.
Margaret F RoxVanderbilt University, Department of Mechanical Engineering.
Robert J WebsterVanderbilt University, Department of Mechanical Engineering.

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
Robotic Natural Orifice Skull Base SurgeryR01EB017467 · NIBIB · VANDERBILT UNIVERSITY · PI WEBSTER, ROBERT JAMES · 2013 to 2016
$1.7M
NIBIB NIH HHS R01 EB017467NIBIB NIH HHS R01 EB026901NIBIB NIH HHS T32 EB021937
6 · The paper itself

Abstract

Understanding elastic instability has been a recent focus of concentric tube robot research. Modeling advances have enabled prediction of when instabilities will occur and produced metrics for the stability of the robot during use. In this paper, we show how these metrics can be used to resolve redundancy to avoid elastic instability, opening the door for the practical use of higher curvature designs than have previously been possible. We demonstrate the effectiveness of the approach using a three-tube robot that is stabilized by redundancy resolution when following trajectories that would otherwise result in elastic instabilities. We also show that it is stabilized when teleoperated in ways that otherwise produce elastic instabilities. Lastly, we show that the redundancy resolution framework presented here can be applied to other control objectives useful for surgical robots, such as maximizing or minimizing compliance in desired directions.

Identifiers

PMID38524963
PMCPMC10959507

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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.