Tele-operated shotcrete spraying with the Meyco Robojet Logica
Bibliographic record
Abstract
In 1999, INCO Limited Mines Research, in Sudbury, Ontario, Canada, took delivery of a Meyco Robojet Logica Spraymobile, a computerized concrete spraying system. The Spraymobile is a self-contained mobile machine capable of applying spray-on ground support in underground applications. The Logica component of the Roboj et is designed to control the operation of the Roboj et, as well as scan and map the tunnel geometry prior to the spraying operation. The Robojet can be operated in various modes, from manual to automatic operation. In the automatic mode the computer controls the standoff distance, angle, and motion of the spraying jet. In 2000, INCO Limited, working with Meyco Equipment of Switzerland (a division of Master Builders Technologies), detailed a plan to create a tele-operation package for controlling the spraying process from a surface location at INCO’s Mines Research Test mine. With the Robojet Logica operating in automatic mode, the operator at the machine becomes a process monitor. Since the Logica system controls the key spraying parameters of nozzle distance and nozzle angle to the sprayed surface, the operator could easily monitor and control the Robojet Logica from a remote location. The benefits of operating underground mobile mining equipment (drills and LHD’s) from a surface location has previously been demonstrated at INCO Limited. However, the ability to control a ground support operation (shotcrete spraying) from the surface has not been attempted until now. This paper will describe the Spraymobile shotcreting system, the development of the tele-operation package for the Robojet Logica, as well as modifications to the original Spraymobile for implementing the tele-remote package on the Robojet Logica at the Mines Research Test mine.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".