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Record W2104588166 · doi:10.1109/fbw.2011.5965559

Design, construction and fly-by-wireless control of an autonomous Quadrotor helicopter

2011· article· en· W2104588166 on OpenAlex
Camilo Ossa-Gomez, Miad Moarref, Luı́s Rodrigues

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
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsInertial measurement unitController (irrigation)WirelessComputer scienceActuatorControl theory (sociology)SIGNAL (programming language)Attitude controlReal-time computingControl engineeringEngineeringControl (management)TelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract-This paper describes the design, development and analysis of an autonomous Quadrotor Unmanned Aerial Vehicle (UAV) that is controlled using fly-by-wireless technology. A communication protocol between the UAV and a Ground Control Station (GCS) is established to continuously send information from the on-board sensors to the GCS. There, a controller computes the control signal in real-time and sends it back to the UAV to act upon the actuators. An Inertial Measurement Unit (IMU) and a sonar are used as sensors to determine the attitude angles and the height of the UAV, respectively. A state-feedback controller is designed by pole placement. Considering the delays of the wireless network, a Lyapunov-Krasovskii functional is used to determine if the stability of the system is affected by the delay. Some results are presented from initial flight experiments in which attitude angles and altitude are stabilized.

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: none
Teacher disagreement score0.821
Threshold uncertainty score0.498

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 head0.017
GPT teacher head0.195
Teacher spread0.178 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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