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Record W2119358438 · doi:10.1109/iros.2007.4399252

Master-slave control of an active catheter instrumented with shape memory alloy actuators

2007· article· en· W2119358438 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsWestern University
Fundersnot available
KeywordsActuatorSMA*Haptic technologyShape-memory alloyController (irrigation)Computer scienceTrajectoryCatheterControl theory (sociology)Control engineeringArtificial intelligenceControl (management)EngineeringAlgorithmSurgeryPhysics

Abstract

fetched live from OpenAlex

In the recent years, there has been considerable interest in developing active catheters instrumented with shape memory alloy (SMA) actuators to perform angioplasty. The problem, however, with SMA actuators is the extremely non-linear response of the strain with input current. Therefore, control of such an active catheter inside the body is inaccurate and which could lead to unforeseen damage. In this paper, a novel model for SMAs and a robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> loop-shaping controller has been implemented to guarantee robust performance of the active catheter. A closed-loop control algorithm has been implemented to precisely orient the catheter in space based on feedback from a 5-DOF magnetic sensor. The active catheter tracks a reference trajectory generated either by a haptic device under the control of a user or from an image processing algorithm which determines the angle of a branch in the vasculature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.237
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations8
Published2007
Admission routes1
Has abstractyes

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