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Record W1784957618 · doi:10.1109/icar.1997.620156

Impedance control of a teleoperated mini excavator

2002· article· en· W1784957618 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobot Manipulation and Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsExcavatorControl theory (sociology)Hydraulic cylinderController (irrigation)Electrical impedanceImpedance controlActuatorEngineeringTeleoperationJacobian matrix and determinantPosition (finance)Mechanical impedanceStability (learning theory)Control engineeringComputer scienceRobotMathematicsMechanical engineeringControl (management)

Abstract

fetched live from OpenAlex

A position-based impedance controller for excavator-type manipulators has been developed in our laboratory. This paper describes the proposed impedance controller and presents supporting experimental results. First, the problem of impedance control for a single hydraulic actuator is addressed and a method is presented for stability analysis. Steady-state position and force tracking of the closed loop system is also studied. Then, the desired impedance of the end-effector (bucket of the excavator) is mapped onto the hydraulic cylinders using the arm Jacobian and accurate estimates of the arm inertial and gravity terms. A nonconservative method is presented for predicting stability of the multivariable closed loop system. Experiments with an instrumented mini excavator (for the single cylinder case) show that the designed impedance controller has a good performance.

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 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: Empirical
Teacher disagreement score0.323
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 head0.016
GPT teacher head0.192
Teacher spread0.177 · 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

Quick stats

Citations47
Published2002
Admission routes1
Has abstractyes

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