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Record W2043888881 · doi:10.1109/icma.2012.6283527

New path planning scheme for complete coverage of mapped areas by single and multiple robots

2012· article· en· W2043888881 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
FieldComputer Science
TopicOptimization and Search Problems
Canadian institutionsWestern University
Fundersnot available
KeywordsTerrainRobotMotion planningScheme (mathematics)Path (computing)Computer scienceEnergy consumptionEnergy (signal processing)Mobile robotFunction (biology)Real-time computingPower consumptionWork (physics)Power (physics)SimulationArtificial intelligenceEngineeringElectrical engineeringMathematicsComputer networkGeography

Abstract

fetched live from OpenAlex

This work details a method of path planning for complete coverage designed to minimize energy consumption; an idea that has not been rigorously investigated in the past. Such a system should prove useful for planetary exploration due to the limited supply of electrical power available to exploring robots. Our system accepts as input terrain maps detailing the energy consumption required to move to each of eight adjacent points. Exploration is performed via a cost function which determines the robot's next move. This system was successfully extended to groups of two, three and four robots by means of a shared exploration map. The energy consumed by our system was substantially less than that consumed by a boustrophedon (back and forth) coverage pattern.

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.930
Threshold uncertainty score0.250

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 head0.056
GPT teacher head0.272
Teacher spread0.216 · 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

Citations12
Published2012
Admission routes1
Has abstractyes

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