Evidence map›Paper›PMID 40201565›Full record

ArticleFrontiers in robotics and AI2025

Stiffness evaluation of continuum robots based on the energy method and castigliano's second theorem.

Mengxue Yang, Zhicheng An, Zechen Lin, Yuhang Wang, Tongtao Pang, Fuxin Du

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2025. 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

6 authors.

Mengxue YangBeijing Tian Tan Hospital, Capital Medical University, Beijing, China.
Zhicheng AnSchool of Mechanical Engineering, Shandong University, Jinan, China.
Zechen LinShandong Institute of Medical Device and Pharmaceutical Packaging Inspection, NMPA Key Laboratory for Quality Evaluation of Medical Materials and Biological Protective Devices, Jinan, China.
Yuhang WangSchool of Mechanical Engineering, Shandong University, Jinan, China.
Tongtao PangSchool of Mechanical Engineering, Shandong University, Jinan, China.
Fuxin DuSchool of Mechanical Engineering, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Continuum robots are studied and applied in neurosurgery due to their high flexibility and adaptability. The basic performance of continuum is mainly evaluated by stiffness, but there is no systematic and universal evaluation system. Methods: In this paper, a general experimental platform for continuum robots is designed, based on which the fundamental performance of the notched continuum robot used in neurosurgery is evaluated. The continuum stiffness evaluation method based on energy method and Castigliano's second theorem is proposed. By solving the internal force and energy of the notched continuum in sections, the stiffness model of single-segment and double-segment series continuum is established. The relationship between the stiffness of the continuum and the bending angle is obtained. Results: The simulation and experimental results show that under the condition of small deformation angle, the spatial stiffness model obtained by strain energy basically conforms to the actual model, which verifies the correctness and rationality of the stiffness calculation method proposed in this paper. Discussion: This paper is of significant importance to promote the performance evaluation and optimization of continuum.

Indexed as

castigliano’s second theoremenergy methodneurosurgerynotched continuum robotsstiffness

Identifiers

PMID40201565
PMCPMC11975887

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.