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Record W1649668171 · doi:10.1109/cdc.1995.478567

Adaptive compliant motion control of kinematically redundant manipulators

2002· article· en· W1649668171 on OpenAlexaff
F. Shadpey, Rajni V. Patel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobot Manipulation and Learning
Canadian institutionsConcordia University
Fundersnot available
KeywordsImpedance controlRedundancy (engineering)Control theory (sociology)Cartesian coordinate systemAdaptive controlComputer scienceTrajectoryKinematicsMotion controlScheme (mathematics)Tracking (education)Serial manipulatorPosition (finance)Control engineeringRobotControl (management)EngineeringMathematicsArtificial intelligenceParallel manipulator

Abstract

fetched live from OpenAlex

An adaptive augmented hybrid impedance control (AAHIC) scheme is proposed for kinematically redundant manipulators. The hybrid impedance control (HIC) scheme, which has been used in the past for compliant motion control of nonredundant manipulators, is extended to the redundant case. The proposed scheme takes full advantage of redundancy by satisfying user defined additional tasks while regulating end-effector interaction with the environment. An extension of the adaptive algorithm of Slotine and Li (1987) for pure position control is used to ensure tracking of the augmented Cartesian target (ACT) trajectory in the presence of uncertainties in manipulator dynamics or imprecise force measurements.

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 categoriesInsufficient payload (model declined to judge)
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 score0.985
Threshold uncertainty score0.999

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)0.0020.000

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 head0.036
GPT teacher head0.210
Teacher spread0.173 · 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.

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

Citations0
Published2002
Admission routes1
Has abstractyes

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