Evidence map›Paper›PMID 41113625›Full record

ArticleJournal of mechanisms and robotics2025

Parallel Mechanisms for Multiscale Motion Using Twisted Wire Actuation: Designing for Microworkspace and Dexterity.

Elan Z Ahronovich, Joshua H Turner, Nabil Simaan

Abstract read
In one paragraph

Article in Journal of mechanisms and robotics, 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

3 authors.

Elan Z AhronovichDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235.
Joshua H TurnerDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235.
Nabil SimaanDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents an exploratory study of a new family of parallel mechanisms with multiscale (micro/macro) motion capabilities. These composite serial-in-parallel mechanisms use kinematic redundancy and two sets of macro and micro actuators to achieve multiscale motion. Use of twisted wire actuators (TWAs) is considered as a low-cost alternative for achieving micromotion. A kinematically redundant 3RRPR planar parallel robot is used as a case study for task-based design of these robots with considerations of macro and micromotion workspace, dexterity, minimal motion resolution, and end-effector error considering the use of low-cost TWAs for achieving micromotion. Task-based considerations for the microworkspace are used to illustrate the effect of the TWAs on the micromotion kinematics. An experimental study shows that, because of the use of TWAs, it is possible to achieve motion resolutions on the order of a few micrometers despite using low-cost manufacturing techniques and actuators. The use of TWAs is shown to also significantly alter the kinematic characteristics of the robot at the microscale. The modeling framework of this article can guide designers in key design considerations for parallel robots with multiscale motion capabilities. Results of this article can be used to guide users in the selection of TWAs and in determining the threshold when the robot should switch from macro to micromotion and to facilitate a smooth transition via redundancy resolution.

Indexed as

and control of mechanical systemsdynamicsflexurekinematicsmechanisms and robotsmicromotionparallelparallel robotstwisted wire actuator

Identifiers

PMID41113625
PMCPMC12533833

What OpenQuestion holds

Textmetadata
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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.