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Record W2165918950 · doi:10.1109/iros.2000.895233

Lateral control of a skid-steering mining vehicle

2002· article· en· W2165918950 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 institutionsUniversité de SherbrookeÉcole de Technologie Supérieure
Fundersnot available
KeywordsSkid (aerodynamics)Control theory (sociology)TorqueNonlinear systemVehicle dynamicsCoulomb frictionEngineeringReference frameComputer scienceFrame (networking)Control (management)Automotive engineeringPhysicsStructural engineeringMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper proposes a nonlinear feedback path controller for a skid-steering mining vehicle. The dynamic model of the vehicle is derived using the Boltzmann-Hamel formalism. The control design utilizes the computed torque type technique combined with an auxiliary continuous static state feedback, which involves error coordinates expressed in a moving reference frame partially linked to the vehicle. Assuming that the lateral friction forces caused by the skidding of the wheels are not exactly known, the last part of the paper is centered on the analysis of the effect of Coulomb friction on the behaviour of the system. Asymptotic stabilization of the equilibrium set is achieved for the closed-loop system with discontinuous right-hand side.

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 score0.172
Threshold uncertainty score0.324

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 head0.006
GPT teacher head0.166
Teacher spread0.160 · 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

Citations17
Published2002
Admission routes1
Has abstractyes

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