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Record W2161006934 · doi:10.1109/robot.2000.844822

Motion/force/image control of a diagnostic ultrasound robot

2002· article· en· W2161006934 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 institutionsUniversity of British Columbia
Fundersnot available
KeywordsController (irrigation)SonographerRobotMotion controlFeature (linguistics)Computer scienceTorqueTrajectoryControl theory (sociology)ServomotorPosition (finance)Control systemRobot end effectorDC motorRobot controlArtificial intelligenceComputer visionEngineeringControl (management)UltrasoundMobile robotAcousticsPhysics

Abstract

fetched live from OpenAlex

The authors previously (1999) presented a fully counter-balanced 6-DOF robot for ultrasound carotid artery diagnosis. This paper presents the design of its controller. The controller is a velocity controller capable of incorporating position control, force control, and image based control, using shared control. Safety is a significant issue in the design of the control system. The counterbalanced mechanical design enables the use of small motor torques which result in 10N maximum force at the probe, and allows the probe to remain in its position in case of power failure. The robot can be positioned by an input device via motion/force control and by image feature based control. It can also be positioned by directly pushing its linkage in case that either the patient or the sonographer shows the slightest sign of discomfort. Feasibility experiments are reported.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.904

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)0.0010.000

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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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

Citations61
Published2002
Admission routes1
Has abstractyes

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