Bibliographic record
Abstract
THE Canadian Space Agency (CSA) as part of its Exploration Surface Mobility (ESM) project has been developing ISRU specific tools capable of utilization at the end of a robotic manipulator arm. The Mini Corer Drill is a two-piece sample acquisition and encapsulation tool designed for use as an end effector tool for small and medium manipulator arms on rovers and landers. 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 progress and results of the final testing of the Mini Corer and the integration of the unit to a 1.2 Metre arm for Canadian Space Agency use in field trials.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".