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Analog Control Design for a Two Degrees of Freedom Bilateral Teleoperation System

2024· article· en· W4406208111 on OpenAlexaff
Umair Ali, A. A. Hassan, Jason Gu, Khurram Karim Qureshi, Muhammad Usman Asad, Ghulam Abbas, Umar Farooq

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTeleoperationControl theory (sociology)Computer scienceDegrees of freedom (physics and chemistry)Control engineeringControl systemControl (management)EngineeringArtificial intelligencePhysicsElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, we detail the process of designing and implementing a two-way teleoperation system in which the manipulators (master and slave) each have two degrees of freedom. Position-position architecture is implemented for both the joints on the master and slave manipulators. The controllers for both joints are implemented using operational amplifiers. The teleoperation system is tested for both free and contact motion. It is experimentally found that the joints of the slave manipulator follow the trajectory of the respective joints of the master manipulator. The slave manipulator also experiences force reflection whenever it comes into contact with the environment. The presented cost-effective setup can be used to introduce key concepts of haptics control technology to undergraduate students taking the course on linear control systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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