Demo abstract — Hexacopters for everyone: Online access to advanced robotics platforms for your research
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
We will present our approach to remote experimentation. The system provides access to a well-maintained, high-fidelity hardware-in-the-loop simulation of a flight-validated hexacopter with an autopilot. The whole system has already received the Special Flight Operations Certificate (SFOC) and was used during several missions such as sensor deployment on icebergs, terrain mapping, and structural integrity checks. The system is easily accessible to remote users, and in active use for research and teaching. Users will be able to connect through a remote connection and gain access to the system. Several scenarios are available which mimic different flight conditions and flight paths. The platform supports research from the operating system up to arbitrary application software and thus enables case studies on software and system design, modeling, programming, validation, and verification, as well as robotic operations, mission planning, and simultaneous localization and mapping.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 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