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Record W1978520417 · doi:10.1109/icma.2012.6283422

A graphical user interface for tele-operated robotic sample acquisition

2012· article· en· W1978520417 on OpenAlexafffund
Karan Desai, Yugang Liu, Guangjun Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsGraphical user interfaceRobotic armComputer scienceInterface (matter)User interfaceTask (project management)Sample (material)RobotEmbedded systemHuman–computer interactionReal-time computingOperating systemArtificial intelligenceEngineering

Abstract

fetched live from OpenAlex

This paper presents a graphical user interface (GUI), which has been developed for tele-operation of a robotic arm for sample retrieval and collection. Combinations of control functions have been defined and implemented to alleviate the operator's efforts in robotic arm manipulation. Also, a series of pop-up style dialogue boxes have been proposed to accept the operators' inputs for selected functions. Furthermore, an emergency halt function is provided to allow the operators to terminate the robotic arm's operation in the event of an unexpected situation. The developed GUI is also capable of task planning in offline mode. An intelligent server/client architecture has been implemented to enable efficient tele-operated control of the robotic arm. The presented interface can also be used with multiple systems with minimal changes. To verify the effectiveness of the developed GUI, experiments have been conducted using a robotic arm comprised of three rotary joints.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.614

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)0.0010.000

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 head0.018
GPT teacher head0.248
Teacher spread0.231 · 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

Citations5
Published2012
Admission routes2
Has abstractyes

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