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Record W4367024649 · doi:10.12700/aph.15.4.2018.4.1

State Convergence-based Control of a Multi-Master-Single-Slave Non-linear Teleoperation System

2018· article· en· W4367024649 on OpenAlex
Umar Farooq, Jason Gu, M.E. El-Hawary, Valentina Emilia Bălaş, Marius M. Bǎlaş, Ghulam Abbas, Muhammad Usman Asad, Jun Luo

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

VenueActa Polytechnica Hungarica · 2018
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTeleoperationMaster/slaveConvergence (economics)State (computer science)Computer scienceControl theory (sociology)Control (management)Control engineeringEngineeringArtificial intelligenceAlgorithmOperating system

Abstract

fetched live from OpenAlex

This paper presents the design of a state convergence based control scheme, for a multi-master-single-slave nonlinear teleoperation system.The control objective is that the slave follows the weighted motion of the master systems, in free motion, and the master systems receive the scaled force feedback, while the slave system is in contact with the environment.To achieve the desired objectives, extended state convergence architecture is modified and appropriate control gains are chosen following a Lyapunov based stability analysis.MATLAB simulations considering a two-degree-of-freedom tri-master-singleslave nonlinear teleoperation system are provided to show the validity of the proposed scheme.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
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 head0.021
GPT teacher head0.225
Teacher spread0.204 · 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