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Record W2971355765 · doi:10.1109/icinfa.2018.8812544

Wireless Teleoperation of an Underwater Robot using Li-Fi

2018· article· en· W2971355765 on OpenAlexaff
Robert Codd-Downey, Michael Jenkin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsYork University
Fundersnot available
KeywordsTeleoperationUnderwaterWirelessEthernetExploitTeleroboticsRobotComputer scienceUnderwater acoustic communicationRemotely operated underwater vehicleRemote controlRelayShielded cableEngineeringSimulationTelecommunicationsMobile robotComputer networkComputer hardwareArtificial intelligencePower (physics)

Abstract

fetched live from OpenAlex

Teleoperation of unmanned underwater vehicles is most commonly facilitated through the use of expensive shielded ethernet cables or high-speed fibre optic cables that are also quite fragile. Wireless underwater communication has thus far has been dominated by bulky and expensive acoustic modems. Is it possible to exploit recent advances in visible light communication technology including Li-Fi as a replacement for these technologies? Here we describe a small scale Li-Fi system that can be used to provide short-range tele-operational control of an underwater vehicle. Such control can either be provided from a diver operating in close proximity of the robot or via a communications relay from surface-based support.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.029
GPT teacher head0.265
Teacher spread0.237 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

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