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Record W2093567403 · doi:10.1109/isscaa.2006.1627597

Canonical Modeling Approach of a Micro/Nano Free-Flying Space Robot: A Proposal towards Detecting the Nature of Space-Time

2006· article· en· W2093567403 on OpenAlexaff
Murad Shibli

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsConcordia University
Fundersnot available
KeywordsRobotic spacecraftRobotSpace (punctuation)Variable (mathematics)Extension (predicate logic)Computer scienceSpace timeControl theory (sociology)Conservation of energyDynamical simulationControl engineeringSimulationClassical mechanicsPhysicsEngineeringMathematicsArtificial intelligenceMathematical analysisControl (management)

Abstract

fetched live from OpenAlex

This paper presents a canonical modeling approach of a micro/nano free-flying space robot with/without interaction with a floating object. A first-order dynamical model is obtained by using the concept of generalized momenta subjected to different constraints. In the proposed model the time is considered as a mechanical variable along with other dependent variables rather than an independent variable. This results into an extension of conservation of momentum of the mechanical system with a drift in the space-time. The proposed approach may serve as a first step to detect the nature of space-time and the energy associated with it. Finally, simulation results of a 6-DOF micro space robot are demonstrated to verify the analytical results

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.723

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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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
GenreEmpirical

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

Citations7
Published2006
Admission routes1
Has abstractyes

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