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Record W2118405462 · doi:10.1109/robot.2005.1570267

Design of Bilateral Teleoperators for Soft Environments with Adaptive Environmental Impedance Estimation

2006· article· en· W2118405462 on OpenAlex
Xin Wang, Peter Liu, D. Wang, Brahim Chebbi, Max Q.‐H. Meng

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
TopicTeleoperation and Haptic Systems
Canadian institutionsAlgonquin CollegeUniversity of WaterlooCarleton University
Fundersnot available
KeywordsFidelityStability (learning theory)Constraint (computer-aided design)Measure (data warehouse)Mathematical optimizationControl theory (sociology)High fidelityEngineeringElectrical impedanceScheme (mathematics)Computer scienceControl engineeringMathematicsArtificial intelligenceData miningMachine learningControl (management)Telecommunications

Abstract

fetched live from OpenAlex

This paper studies the problem of improving the fidelity of bilateral teleoperators under the stability constraint. First, a new fidelity measure for teleoperators is proposed. Then the teleoperator design problem is formulated as the optimization problem of maximizing the proposed fidelity measure under the stability constraint. The robust stability theory for unstructured uncertainty is applied to analyze the stability of bilateral teleoperators. Third, a new scheme to estimate adaptively the environmental impedance is developed to improve the fidelity of the systems. Finally, a case study is presented to validate the introduced approach.

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 score0.776
Threshold uncertainty score0.368

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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

Citations20
Published2006
Admission routes1
Has abstractyes

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