Onboard Generation of Optimal Flight Trajectory for Delivery of Fragile Packages
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
Real-time onboard flight trajectory generation is of great importance for all kinds of flying vehicles. This paper proposes a method to generate the trajectory which minimizes the damage due to flight motion to a fragile package. The proposed methodology has several potential applications including drone organ delivery. A similar procedure can also be used in applications where the objective is to maximize passenger comfort during flight. An analytical solution of the optimal trajectory generation problem is derived under arbitrary two-point boundary value constraints. An approach to solve for the optimal flight time is also proposed, which can be easily implemented on common embedded processors. The algorithm is extended to guarantee that a peak velocity constraint is verified. The effects of a parameter called the cost index on the optimal solution are also discussed. Examples show how the procedure can be used in a specific application.
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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