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Record W2103710021 · doi:10.1109/iros.2007.4399251

Autonomous robot-assisted active catheter insertion using image guidance

2007· article· en· W2103710021 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
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsActuatorCatheterRobotComputer scienceCartesian coordinate systemTrajectoryFluoroscopySimulationArtificial intelligenceComputer visionSurgeryMedicineMathematicsPhysics

Abstract

fetched live from OpenAlex

In this paper, we investigate autonomous robot- assisted insertion of an active catheter instrumented with shape memory alloy (SMA) actuators using image guidance. An Augmented Hybrid Impedance Control (AHIC) algorithm is implemented on a Mitsubishi robot (PA 10-7C) to insert the active catheter. The robot is constrained to move in Cartesian space along a pre-defined trajectory while controlling the force of insertion. A closed-loop control scheme has been developed to accurately control the bending in the active catheter. The tip of the active catheter is tracked in real-time to provide information on the path of the catheter and for determining the future course of insertion. The catheter is autonomously guided from the point of entry to the site of plaque buildup, thereby shielding the surgeon from the harmful radiation due to the X-rays used for imaging, providing a more ergonomic approach for catheter insertion. Experimental results are given to illustrate the robot-assisted catheter insertion procedure.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.338

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.263
Teacher spread0.242 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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