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Record W2056804195 · doi:10.1109/robot.2010.5509752

Using a swarm of self-propelled natural microrobots in the form of flagellated bacteria to perform complex micro-assembly tasks

2010· article· en· W2056804195 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
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSwarm behaviourNanoroboticsMagnetotactic bacteriaNatural (archaeology)Computer scienceSelf organisationPyramid (geometry)Artificial intelligenceEngineeringPhysicsBiologyManagement scienceBacteriaOptics

Abstract

fetched live from OpenAlex

Many science fiction novels have envisioned swarms of artificial microrobots capable of performing complex collective tasks. Unfortunately, today's technological constraints have prevented such powerful concept to be a reality when considering artificial microrobots. In this paper, we show that a swarm of computer-controlled flagellated Magnetotactic Bacteria (MTB) acting as natural microrobots of approximately 1 to 2 micrometers in diameter can perform many of the same complex collective tasks envisioned with these futuristic self-propelled artificial microrobots. To prove the concept, magnetotaxis-based control has been used to coordinate a swarm made of thousands of these self-propelled natural microrobots to build in a collective effort, a miniature version of an ancient Egyptian pyramid.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.521

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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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

Citations127
Published2010
Admission routes1
Has abstractyes

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