Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 465

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Modeling and Control of Untethered Biomicrorobots in a Fluidic Environment Using Electromagnetic Fields

Yesin, K. Berk, Vollmers, Karl, Nelson, Bradley J.·2006·The International Journal of Robotics Research

Abstract

This paper investigates fundamental design, modeling, and control issues related to untethered biomedical microrobots guided inside the human body through external magnetic fields. Proposed areas of application for these microrobots include sensing, diagnosis, and surgical procedures in intraocular, cardiovascular, and inner-ear environments. A prototype microrobot and steering system are introduced. Fluid drag experiments performed on the prototype robot show that the 950 × 400 μ m elliptical shape has a spherical equivalent diameter of 477 μ m. Drag forces combined with saturation magnetization (5 × 10 5 A/m) of the prototype indicate that the required magnetic field gradients for application inside the vitreous humor and blood vessels are on the order of 0.7T/m.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0278364906065389

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 465

Metadata

Authors
Yesin, K. B., Vollmers, K., & Nelson, B. J.
Venue
The International Journal of Robotics Research
Published
2006-05
Volume
25
Issue
5-6
Pages
527-536
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W2116813238
Cited by
465
References
1
FWCI
20.51
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Modeling and Control of Untethered Biomicrorobots in a Fluidic Environment Using Electromagnetic Fields. https://app.cochat.ai/papers/10.1177/0278364906065389
The paper
Yesin, K. B., Vollmers, K., & Nelson, B. J. (2006). Modeling and Control of Untethered Biomicrorobots in a Fluidic Environment Using Electromagnetic Fields. The International Journal of Robotics Research. https://doi.org/10.1177/0278364906065389

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.