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Record W3012805012 · doi:10.1016/j.ohx.2020.e00105

microUSV: A low-cost platform for indoor marine swarm robotics research

2020· article· en· W3012805012 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHardwareX · 2020
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRoboticsSwarm roboticsArtificial intelligenceSwarm behaviourComputer scienceEngineeringHuman–computer interactionSimulationRobot

Abstract

fetched live from OpenAlex

This article describes an open source Unmanned Surface Vehicle (USV) designed to operate in indoor laboratory environments. The microUSV is small (23 cm long) and inexpensive (approximately $320 per unit for 10 vessels): an ideal hardware platform for algorithm validation and marine swarm robotics research. The primary design goal was to minimize the vehicle's size and cost while providing a stable and maneuverable platform with onboard autonomy. To that end the vehicle is built using 3D printed and off-the-shelf hobbyist electronic components and uses an overhead camera system to simulate sensor data to minimize the number of onboard sensors required. This article describes the context, design, and assembly procedures for a microUSV and demonstrates the platform's base-level functionality in the form of a waypoint following controller implementation for both single and multi-robot configurations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.498

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 head0.131
GPT teacher head0.307
Teacher spread0.176 · 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