On-Orbit Operations Support from the Canadian Space Agency Flight Control Room
Bibliographic record
Abstract
*The Canadian Mobile Servicing System (MSS) is a complex robotics system used extensively in the assembly, inspection and maintenance of the International Space Station (ISS). During MSS operations, robotics flight controllers on the ground continuously assist the ISS astronauts by conducting numerous real-time activities: They plan and monitor robotics operations, but also command several MSS functions from the ground. The Canadian contribution to the ISS program includes real-time mission control and engineering support from the Canadian Space Agency’s (CSA) Space Operations Support Center (SOSC). The SOSC's Remote Multi-Purpose Support Room (RMPSR) began actively supporting MSS operations in June 2004. This paper describes how on-orbit experience and anomalies have shaped both the roles and responsibilities of ISS robotics flight controllers, and how this has impacted RMPSR requirements. The paper introduces the concept of operation behind the RMPSR and presents an overview of the commissioning activities leading to its direct involvement with on-orbit robotics operations. Robotics flight control activities carried out from the RMPSR, which have included support to eight ISS assembly missions, are summarized. The challenges associated with a flight control team separated by large distances are explored, together with the technical and operational measures taken to ensure that the robotics flight control team continued to carry its training, mission planning, and real-time execution functions as an integrated team. Operational experience from the past four years has shown that a gradual phasing-in of RMPSR operations, combined with regular participation in integrated simulations and tests, was critical to its successful realtime support of on-orbit activities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.060 | 0.007 |
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".