Pilot-Assist Landing System for Hover-Capable Fixed-Wing Unmanned Aerial Vehicles in All Flight Regimes
Bibliographic record
Abstract
This work presents an integrated guidance and control system designed to assist a remote human operator during the landing operation of a hover-capable fixed-wing aircraft. These platforms are capable of both conventional, steady flight and thrust-borne maneuvering, but are challenging to pilot. The proposed pilot-assist system is valid for both flight regimes, including transitions between them, and enables the pilot to intuitively adjust the landing approach, re-position if necessary, and select between conventional and vertical landing. The control system is constructed around a nonlinear SO(3) attitude control system, together with a nonlinear position controller valid for all flight regimes. A guidance algorithm is developed around the control system that translates pilot inputs into references in an intuitive manner. System performance is verified through numerical simulation using a high-fidelity model of an agile fixed-wing aircraft. Results show the proposed system enables a remote operator to safely land the aircraft while retaining high level authority during the procedure.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".