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Record W2158196336 · doi:10.5539/mer.v5n2p24

Incremental Inverse Kinematics of Wire-Suspended Parallel Mechanical System Taking into Account Many-Worlds Situation

2015· article· en· W2158196336 on OpenAlexvenueno aff
Kazuyuki HANAHARA

Bibliographic record

VenueMechanical Engineering Research · 2015
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsKinematicsInverse kinematicsLinearizationDisplacement (psychology)Mechanical systemComputer scienceInverseForward kinematicsPosition (finance)Structural engineeringSimulationControl theory (sociology)EngineeringMathematicsPhysicsGeometryClassical mechanicsNonlinear systemArtificial intelligence

Abstract

fetched live from OpenAlex

Wire-suspended platform is a parallel mechanical system consisting of a rigid platform and a number of length-adjustable wires. In order to deal with the kinematics of this type of mechanical system, we have to take into account the conspicuous characteristic of a wire that it can take only a tensile force. It has been demonstrated in the previous studies that this leads to plural possible kinematic states corresponding to a given set of wire lengths. In this study, we formulate an inverse kinematics problem in an incremental form based on the linearization of the kinematic relation of the system. Displacement of the mass center position of the platform is also taken into account for the articulation variables, in addition to the wire member lengths. A solution procedure that deals with the many-worlds situation is developed under the assumption of some adequate sensing devices. Numerical experiments based on computer simulation are carried out and the feasibility of the proposed approach is demonstrated with the attained kinematic motions of the simulated platform system.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.306
Teacher spread0.244 · 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.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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