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Record W2967408080 · doi:10.1109/icra.2019.8794148

Open-Loop Collective Assembly Using a Light Field to Power and Control a Phototaxic Mini-Robot Swarm

2019· article· en· W2967408080 on OpenAlexafffund
Adam Bignell, Lily Li, Richard Vaughan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaUniversities Space Research Association
KeywordsRobotSwarm behaviourMobile robotComputer sciencePopulationSimple (philosophy)Swarm roboticsLoop (graph theory)Field (mathematics)Open-loop controllerPower (physics)Artificial intelligenceControl engineeringTopology (electrical circuits)Control theory (sociology)Closed loopEngineeringControl (management)MathematicsPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

We propose a novel scheme that jointly addresses the problems of powering and coordinating a population of mini-robots for collective construction. In our setting, a population of simple mobile robots must push blocks into desired polygonal shapes. Each robot performs only simple phototaxis. Coordination is purely open-loop: a global light field guides and powers the robots. We demonstrate this concept in simulation and explore a series of dynamic light field design strategies that robustly result in assembled shapes including nonconvex polygons.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.783

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 head0.015
GPT teacher head0.252
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 teacher head, 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

Citations1
Published2019
Admission routes2
Has abstractyes

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