Evidence map›Paper›PMID 40963645›Full record

ArticleIEEE transactions on medical robotics and bionics2025

Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots.

Daniel S Esser, Margaret F Rox, Robert P Naftel, D Caleb Rucker, Eric J Barth, Alan Kuntz, Robert J Webster

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2025. 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. 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.

Daniel S EsserDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212 USA.
Margaret F RoxDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212 USA.
Robert P NaftelDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN 37212 USA.
D Caleb RuckerDepartment of Mechanical Engineering, University of Tennessee Knoxville, USA.
Eric J BarthDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212 USA.
Alan KuntzRobotics Center and the Kahlert School of Computing at the University of Utah, Salt Lake City, UT 84112, USA.
Robert J WebsterDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212 USA.

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
NIBIB NIH HHS T32 EB021937
6 · The paper itself

Abstract

Prior models of continuously flexible robots typically assume uniform stiffness, and in this paper we relax this assumption. Geometrically varying stiffness profiles provide additional design freedom to influence the motions and workspaces of continuum robots. These results are timely, because with recent rapid advancements in multimaterial additive manufacturing techniques, it is now straightforward to create more complex stiffness profiles in robots. The key insight of this paper is to project forces and moments applied to the robot onto its center of stiffness (i.e. the Young's modulus-weighted center of each cross section). We show how the center of stiffness can be thought of as analogous to a "precurved backbone" in a robot with uniform stiffness. This analogy enables a large body of prior work in Cosserat Rod modeling of such robots to be applied directly to those with stiffness variations. We experimentally validate this approach using multimaterial, soft, tendon-actuated robots. Lastly, to illustrate how these results can be used in practice, we investigate how stiffness variation can improve performance in a neurosurgical task.

Identifiers

PMID40963645
PMCPMC12440119

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.