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Record W2325062150 · doi:10.2514/6.2012-516

Evolution of a Mini Coring Tool for Sample Acquisition

2012· article· en· W2325062150 on OpenAlexaboutno aff
Dale Boucher, Ronny Theiss, James Kutchaw, Dave Roberts, Marcel Viel, William Sorel, J. Thomas Atwell

Bibliographic record

Venue50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition · 2012
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCoringSample (material)Computer scienceEngineeringChromatographyMechanical engineeringChemistry

Abstract

fetched live from OpenAlex

THE Canadian Space Agency (CSA) as part of its Exploration Surface Mobility (ESM) project have been developing ISRU specific tools capable of utilization at the end of a robotic manipulator arm. The tools, which include a 2 meter 7 DOF arm and a 1.5 m 6 DOF arm, are: a microscope, a mini corer sampler, a Power Socket Wrench Tool, a vibrating Scoop and a robotic hand, are intended to be housed in a Tool Holster on a mobility chassis. The Mini Corer is a two-piece tool designed for use as a manipulator arm deployed sample acquisition and storage system. The Mini Corer system consists of a drill unit, attached as an end effector on a robotic manipulator arm, and a sample handling unit, mounted on a rover chassis. The Drill Unit is deployed and stabilized during operations by a robotic arm, thus the reaction forces, which must be absorbed by the arm, must be minimized. This precludes the use of rotation only coring and requires the use of percussive assist in the drilling. This percussion is imparted using a top hammer concept, already well proven in the mining industry. The Sample Handling Unit is mounted on the rover chassis and provides a method for storage and encapsulation of the drill rods and acquired samples. It is a simple carousel system with 10 storage slots as well as a storage location for a Rock Abrasion Tool, essentially another drill rod with a closed face bit. Sample acquisition and handling takes on a primary role of maintaining sample integrity for loosely consolidated material. This paper will present the development of the Mini Coring Tool as manipulator deployed system.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.004

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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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