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Record W2026680272 · doi:10.1115/1.4002492

A Manipulator for Medical Applications: Design and Control

2010· article· en· W2026680272 on OpenAlex
Basem F. Yousef, Rajni V. Patel, Mehrdad Moallem

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

VenueJournal of Medical Devices · 2010
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsSimon Fraser UniversityWestern University
Fundersnot available
KeywordsRobotWorkspaceUSableComputer scienceSimulationRobot controlControl engineeringArticulated robotTeleoperationMobile robotEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

An actuated robot arm is designed for use as a gross positioning macro-manipulator that can carry, appropriately orient, precisely position, and firmly “lock” in place different types of micro-robots and surgical tools necessary for applications in minimally invasive therapy. With a simple manipulation protocol, the clinician can easily operate the robot in manual mode. A remote control mode can also be enabled for teleoperation of the robot. The robot’s normally locked braking system and the simple quick-release joint enhance its safety features for emergencies and power shutdown. Robot workspace analysis showed that the singularity regions are outside the usable work envelope of the robot. Performance analysis showed that the robot operates with an average displacement accuracy of 0.58 mm and a roll, pitch, and yaw angular accuracies of 0.26 deg, 0.26 deg, and 0.38 deg, respectively. The sophisticated configuration and joint architecture of the arm enable it to perform and interact efficiently with the constrained and limited workspace of surgical environments. The special features of the proposed robot make it well suited for use with new surgical tools and micro-robots for a range of medical interventions.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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