Evidence map›Paper›PMID 42282218›Full record

ArticleIEEE robotics and automation letters2026

Continuum Robot Segments with High Output Stiffness via Diagonal Backbones.

Ethan Eisenhauer, Eli Milam, Joshua Gaston, Caleb Rucker

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ethan EisenhauerUniversity of Tennessee, Department of Mechanical and Aerospace Engineering.
Eli MilamUniversity of Tennessee, Department of Mechanical and Aerospace Engineering.
Joshua GastonUniversity of Tennessee, Department of Mechanical and Aerospace Engineering.
Caleb RuckerUniversity of Tennessee, Department of Mechanical and Aerospace Engineering.

Funding

Saving patients from invasive colectomies via trans-endoscopic steerable instrument sheathsR01EB032385 · NIBIB · UNIVERSITY OF TENNESSEE KNOXVILLE · PI RUCKER, DANIEL CALEB · 2022 to 2025
$2.4M
NIBIB NIH HHS R01 EB032385
6 · The paper itself

Abstract

Continuum robots offer unique advantages for applications such as minimally invasive surgery, navigation through confined environments, and safe human-robot interaction. However, while most continuum robot segments are designed to exhibit constant curvature over their length, they passively deform into a non-constant curvature s-shape when holding payloads at the tip, and their dynamic movement is often subject to unwanted vibration of the passive non-constant curvature modes. In this paper, we propose a simple solution to dramatically improve these issues: a continuum robot segment design that utilizes a diagonal backbone and flexible push-pull actuation rods. This simple modification to common continuum-robot construction enables us to eliminate the passive s-shaped mode, creating a bending segment that can handle large loads without significant deformation or vibration while requiring no more actuation force than conventional designs. We show that a modified version of 1-DOF constant-curvature kinematics accurately describes the structure when actuator translations are equal and opposite. We also develop and validate a 2-DOF model that predicts tip position and orientation resulting from more general actuation inputs. The models and increased output stiffness were verified experimentally and the concept was demonstrated on a multi-segment robot following a 3D trajectory with minimal disturbance from added loads.

Indexed as

Flexible RoboticsModeling, Control, and Learning for Soft RobotsSoft Robot Materials and DesignTendon/Wire Mechanism

Identifiers

PMID42282218
PMCPMC13251689

What OpenQuestion holds

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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.