Optimal Guidance Using Density-Proportional Flightpath Angle Profile for Precision Landing on Mars
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.
Bibliographic record
Abstract
This paper addresses the most significant sources of landing dispersion for an autonomously guided vehicle during its atmospheric entry on Mars. Trajectory guidance strategies are to be developed in order to achieve desired terminal altitude, velocity and downrange. Recent advances in the literature showed an analytical predictor-corrector guidance solution using one or two constant flightpath angle segments. However, these algorithms demonstrate some robustness limitations from the inherent vehicle aerodynamic controllability. Therefore, a novel guidance scheme using a density-proportional flightpath angle trajectory profile is proposed in order to improve the guidance performance. Finally, the performance of the algorithm is demonstrated on atmospheric entry simulations.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it