Evidence map›Paper›PMID 42505491›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Energy-Efficient Motion Simulation of a Bioinspired Variable Stiffness Joint Emulating Elbow Function for Periodic Tasks.

Yapeng Xu, Kaishun Hao, Caidong Wang, Li Xiao, Wenming Wang

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 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

5 authors.

Yapeng XuCollege of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.ORCID 0000-0002-3824-8488
Kaishun HaoCollege of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.ORCID 0009-0004-4437-6314
Caidong WangCollege of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Li XiaoEngineering Training Centre, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Wenming WangCollege of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102249, China.

Funding

Key Scientific and Technological Research Projects in Henan Province 252102221059Key Scientific and Technological Research Projects in Henan Province 262102221047
6 · The paper itself

Abstract

Inspired by the energy-efficient resonance strategy of the human elbow joint during periodic arm swing, this paper investigates the energy-saving motion and performance of a robotic variable stiffness joint. A modular stiffness adjustment mechanism with continuously adjustable stiffness based on Archimedean spiral grooves is proposed. A co-simulation model using MATLAB (R2022b)/ADAMS (2020) is established, and dynamic equations are derived to reveal the correlation between resonance/anti-resonance frequencies and joint rotational stiffness. Mimicking the biological principle of stiffness-frequency matching, an energy-saving controller leveraging the resonance effect is designed, which includes a motor energy consumption model to quantify losses and an optimization strategy to match the joint rotational stiffness with the load anti-resonance frequency. Simulation results demonstrate that in variable stiffness mode, aligning the system anti-resonance frequency with the task trajectory frequency significantly reduces joint energy consumption, validating the bioinspired approach. In contrast, the high-stiffness (rigid) mode leads to a surge in system energy consumption.

Indexed as

Archimedean spiral grooveelastic cantileverenergy consumptionresonance effectvariable stiffness joint

Identifiers

PMID42505491
PMCPMC13406274

What OpenQuestion holds

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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.