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Record W1992304468 · doi:10.1115/detc2002/mech-34257

Geometric Algorithms for the Computation of the Constant-Orientation Workspace and Singularity Surfaces of a Special 6-RUS Parallel Manipulator

2002· article· en· W1992304468 on OpenAlexafffund
Ilian A. Bonev, Clément Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsUniversité Laval
FundersCanada Research Chairs
KeywordsWorkspaceSingularityOrientation (vector space)Constant (computer programming)ComputationGravitational singularityGeometryKinematicsParallel manipulatorComputer scienceAlgorithmConstraint (computer-aided design)MathematicsMathematical analysisPhysicsArtificial intelligenceClassical mechanics

Abstract

fetched live from OpenAlex

This paper studies the kinematic geometry of a special 6-RUS parallel manipulator for which the axes of all base actuated R-joints coincide, the centers of all U-joints move along the same circular track, and the platform S-joints coincide in pairs. Particularly, the paper presents a geometric algorithm for the computation of the constant-orientation workspace. An already known methodology has been enhanced to include the physical constraint, modelled as three Bohemian dome surfaces, on the U-joint interference. In addition, the singularity loci for a constant orientation are shown to form a quartic surface. The workspace boundaries and the singularity loci are analytically computed and represented as horizontal cross-sections. Important observations are made on the singularities of general parallel mechanisms with pair-wise coincident S-joints. The paper also introduces the phenomenon that the workspace of some parallel mechanisms is divided into regions corresponding to different branch sets.

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 score0.757
Threshold uncertainty score0.166

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 head0.029
GPT teacher head0.230
Teacher spread0.201 · 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

Citations31
Published2002
Admission routes2
Has abstractyes

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