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Lifeguard UAV System: Scout Quadcopter and Rescue Coaxial Hexacopter with In-Arm Pitch Axis for Extended and Symmetric Dual-Axis Tilt Rotor

2024· article· en· W4402040516 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
TopicAerospace Engineering and Control Systems
Canadian institutionsBishop's University
Fundersnot available
KeywordsQuadcopterTilt (camera)CoaxialRotor (electric)Dual (grammatical number)Computer scienceAerospace engineeringControl theory (sociology)EngineeringArtificial intelligenceStructural engineeringMechanical engineering

Abstract

fetched live from OpenAlex

An Unmanned Aerial Vehicle (UAV) lifeguard system with scout and rescue UAVs is proposed and prototypes are demonstrated. For dynamic rescue operation, a novel symmetric in-arm pitch rotor tilt axis design is introduced for pitch angle extension by more than 65% over conventional end-arm pitch axis. The rescue UAV implements a coaxial hexacoptor with ±45 degree pitch angle and ±180 degree roll angle for dual-axis rotor tilt at each arm. The extended dual-tilt rotors will be able to adjust thrust to pull a victim to safety adaptively. The rescue UAV folds into itself three times to reduce its diameter by 45% for transportation in passenger vehicles. Its rotor tilting and initial flights were demonstrated. The scout UAV is a quadcopter that deploys an AI-capable mission controller, establishes triple radio channels for control redundancy, and increases payload capacity for a larger battery and a longer scout flight. Multiple autonomous beach flights were conducted to analyze beach hazards through image processing.

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 categoriesMeta-epidemiology (narrow)
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 score0.812
Threshold uncertainty score1.000

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 head0.197
Teacher spread0.191 · 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