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Record W3088901121 · doi:10.1109/access.2020.3026279

Modeling and Control of Aerial Continuum Manipulation Systems: A Flying Continuum Robot Paradigm

2020· article· en· W3088901121 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Access · 2020
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLyapunov stabilityControl theory (sociology)Computer scienceControl engineeringStability (learning theory)Lyapunov functionRobotControl systemArtificial intelligenceControl (management)EngineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a novel aerial manipulation paradigm, namely an aerial continuum manipulation system (ACMS) is introduced. The proposed system is distinct from the conventional aerial manipulation systems (AMSs) in the sense that instead of conventional rigid-link arms a continuum robotic arm is used. Such an integration will enable the benefits of continuum arms especially in cluttered and less structured environments. Despite promising advantages, modeling and control of ACMS involve several challenges. The paper presents decoupled dynamic modeling of ACMS arm using the modified Cosserat rod theory. To deal with the problem of complexity and high level of modeling uncertainties, a robust adaptive control approach is proposed for the position control of ACMS and its stability is proven using Lyapunov stability theorem. Finally, the effectiveness of the proposed scheme is validated in a simulated environment.

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 score0.616
Threshold uncertainty score0.480

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 head0.045
GPT teacher head0.261
Teacher spread0.216 · 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