Evidence map›Paper›PMID 38732866›Full record

ArticleSensors (Basel, Switzerland)2024

A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback.

Shuwan Chen, Damiano Padovani, Andrea Cioncolini, Angelo Alessandri

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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.

Shuwan ChenDepartment of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.ORCID 0009-0004-8104-4773
Damiano PadovaniDepartment of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.ORCID 0000-0002-0772-9609
Andrea CioncoliniDepartment of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.ORCID 0000-0001-7377-3598
Angelo AlessandriDepartment of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.ORCID 0000-0001-6878-9106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromagnetic actuation can support many fields of technology, such as robotics or biomedical applications. In this context, fully understanding the system behavior and proposing a low-cost package for feedback control is challenging. Modeling the electromagnetic force is particularly tricky because it is a nonlinear function of the actuated object's position and coil's current. Measuring in real time the position of the actuated object with the precision required for accurate motion control is also nontrivial. In this study, we propose a novel, cost-effective electromagnetic set-up to achieve position control via visual feedback. We actuated vertically and under different experimental conditions a 10 mm diameter steel ball hanging on a low-stiffness spring, demonstrating good tracking performance (the position error remained within ±0.5 mm, with a negligible phase delay in the best scenarios). The experimental results confirm the feasibility of the proposed set-up, which is characterized by minimum complexity and realized with off-the-shelf and cost-effective components. For these reasons, such a contribution helps to understand and apply electromagnetic actuation even further.

Indexed as

closed-loop feedforward controlmagnetic-driven actuationmagnetic microrobotsreal-time machine vision

Identifiers

PMID38732866
PMCPMC11086070

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.