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Record W4294982655 · doi:10.1109/lra.2022.3205122

Experimental Performance Comparison of Bidirectional Actuator Configurations for Suspended Aerial Platforms

2022· article· en· W4294982655 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

VenueIEEE Robotics and Automation Letters · 2022
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsThrustPayload (computing)ActuatorBandwidth (computing)Marine engineeringComputer sciencePropellerSampling (signal processing)SimulationAerospace engineeringEngineeringTelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

Suspended payload requires bidirectional thrust actuation to control their motion. Such systems, like the small suspended aerial cliff sampling system considered in this letter, require strong bidirectional actuators capable of fine positioning and fast disturbance rejection to fight wind gusts. This letter presents a detailed experimental comparison of three bidirectional thrust actuator configurations (i.e., reverse thrust, antagonist thrusters, and variable pitch propeller) to understand their characteristics at the scale of small aerial systems. Five tests highlight the strengths and weaknesses of each configuration regarding static thrust capabilities, large and small step response, and bandwidth capabilities. This information is then used to select the best configuration for the suspended aerial cliff sampling system described, which in turn was able to sample rare cliff plants in Kaua'i in winds gusts of up to 37 km/h. The results will also help aerial roboticists make better-informed design decisions.

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: none
Teacher disagreement score0.440
Threshold uncertainty score0.425

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 head0.032
GPT teacher head0.284
Teacher spread0.252 · 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