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Record W2800773963 · doi:10.1139/tcsme-2004-0014

TYPE SYNTHESIS OF INPUT-OUTPUT DECOUPLED PARALLEL MANIPULATORS

2004· article· en· W2800773963 on OpenAlexafffundvenue
Xianwen Kong, Clément Gosselin

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsParallel manipulatorTranslation (biology)KinematicsControl theory (sociology)Rotation (mathematics)PlanarSingularityComputer scienceDisplacement (psychology)Forward kinematicsWorkspaceManipulator (device)Set (abstract data type)Topology (electrical circuits)MathematicsInverse kinematicsMathematical analysisPhysicsRobotArtificial intelligenceClassical mechanicsControl (management)Combinatorics

Abstract

fetched live from OpenAlex

An input-output (I-O) decoupled parallel manipulator is a parallel manipulator in which each DOF ot the output is controlled by one actuated joint independently. Unlike general parallel manipulators for which the set of I-O equations is highly coupled, the forward displacement analysis (also forward kinematics or direct kinematics) of I-O decoupled parallel manipulators is easy to solve. The singularity loci of I-O decoupled parallel manipulators are also easy to identify. In this paper, three classes of I-O decoupled parallel manipulators with 2 to 4 DOF are proposed using a geometric approach. These parallel manipulators are used to generate 2T (2-DOF planar translation), 2T1R (rotation about an axis which undergoes 2-DOF planar translation) or 3T1R (rotation about an axis which undergoes 3-DOF spatial translation) motions.

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.

How this classification was reachedexpand

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: Methods · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.567

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 head0.012
GPT teacher head0.192
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations38
Published2004
Admission routes3
Has abstractyes

Explore more

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