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Teleoperated Single-Master-Multiple-Slave System for Cooperative Manipulations in Task Space

2021· article· en· W3182255026 on OpenAlexafffund
Henghua Shen, Ya‐Jun Pan, Lucas Wan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTeleoperationWrenchControl theory (sociology)Controller (irrigation)Master/slaveComputer scienceHaptic technologyTask (project management)Control engineeringTorqueTeleroboticsRobotSimulationEngineeringControl (management)Mobile robotArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, the framework of a single-master-multiple-slave nonlinear manipulator system is proposed for the remote regulation of cooperative tasks. To simultaneously implement both the teleoperation and the cooperation in the presence of time-varying delays, external disturbances and modelling uncertainties, an adaptive non-singular terminal sliding-mode (ANTSM) method is used. Through a wrench-prediction-based reference model, the master controller can be designed as a motion controller while considering the environmental wrench feedback. Additionally, as the full pose motion regulation is considered, an optimized load distribution method is used for the load allocation in 6 degrees of freedom (DOFs) and to compensate for the additional internal torque. Simulation results of a team of 3-DOF Phantom Omni haptic devices show that the designed controllers can ensure that the tracking errors are bounded and the resultant overall multi-manipulator system is stable.

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.

How this classification was reachedexpand

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: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.704

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 head0.038
GPT teacher head0.224
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2021
Admission routes2
Has abstractyes

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