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Record W2528805680 · doi:10.1016/j.ifacol.2016.09.042

Aggressive Turn-Around Manoeuvres with an Agile Fixed-Wing UAV

2016· article· en· W2528805680 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

VenueIFAC-PapersOnLine · 2016
Typearticle
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsFixed wingHeading (navigation)Agile software developmentWingAeronauticsControl theory (sociology)Aerospace engineeringComputer scienceEngineeringControl (management)Control engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper investigates an aerobatic manoeuvre performed by an agile fixed-wing unmanned aerial vehicle, with the intent of determining how best the manoeuvre can be automated. The manoeuvre is an aggressive turn-around: a 180 degree reversal of the aircraft’s heading, in which the space required for completing the turn is minimized. A comprehensive dynamics model of an agile fixed-wing aircraft is used to design trajectories of the manoeuvre off-line using optimal control. A methodology for evaluating the suitability of controllers for executing the manoeuvre is also presented.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.734

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 head0.007
GPT teacher head0.200
Teacher spread0.194 · 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