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Record W2130477546 · doi:10.2514/1.a32883

Rolling Stability of a Power-Generating Tumbleweed Rover

2014· article· en· W2130477546 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

VenueJournal of Spacecraft and Rockets · 2014
Typearticle
Languageen
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsSlippingLyapunov functionControl theory (sociology)InstabilityNonlinear systemInertiaNonholonomic systemLyapunov stabilityLyapunov exponentEquations of motionStability (learning theory)PhysicsMechanicsClassical mechanicsMathematicsComputer scienceGeometry

Abstract

fetched live from OpenAlex

In this paper, the rolling stability of a power-generating tumbleweed rover is investigated. The nonlinear equations of motion of the rover capture the nonholonomic nature of rolling without slipping, the external wind force, and energy dissipation due to rolling friction and power generation. To assess stability of the system as it rolls about a preferred axis of rotation, Lyapunov’s indirect method is employed. When the shell of the tumbleweed rover has a uniform mass distribution, Lyapunov’s indirect method predicts instability; when the inertia about a preferred axis of rotation is increased, Lyapunov’s indirect method predicts stability. Numerical simulation results of both the linearized and nonlinear equations of motion confirm both the instability and stability predictions of Lyapunov’s indirect method.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.385

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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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