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Record W1516835640 · doi:10.1109/cca.1992.269882

Dynamic modelling of wheeled mobile robots and automated transit vehicles using dimensionless 'roll number'

2003· article· en· W1516835640 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsConcordia University
Fundersnot available
KeywordsDimensionless quantityLimit (mathematics)Computer scienceProperty (philosophy)Mobile robotRange (aeronautics)Control theory (sociology)RobotTopology (electrical circuits)SimulationMathematicsArtificial intelligenceEngineeringMathematical analysisPhysicsAerospace engineeringCombinatoricsControl (management)

Abstract

fetched live from OpenAlex

A comparison is made between two models, one assumed to be two-degree-of-freedom (2-DOF) and the other 3-DOF. To study the dynamic behavior of the two models, transfer functions of the system are used, and root-loci plots are found to be extremely valuable for arriving at some important insights. A dimensionless number, designated as the roll number, is identified, with the property that for a system whose roll number is small, the 3-DOF model is effectively reduced to a 2-DOF model as a result of pole-zero cancellation. This number can be used to great advantage in the structural design of the vehicle. As the forward speed of the vehicle exceeds a certain limit, it is found that the response may become oscillatory, so the speed should be kept within a range to get satisfactory results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.789

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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

Quick stats

Citations7
Published2003
Admission routes1
Has abstractyes

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