Long-range communication framework for multi-agent autonomous UAVs
Bibliographic record
Abstract
Multiple unmanned aerial vehicles (UAVs) with inter-UAV communication capabilities can be used to extend the communication range with the ground control station (GCS). Researchers from the Mechanical and Electrical Engineering at the University of Ottawa have developed a new dirigible autonomous UAV with a flight duration of 24+ hrs, a limitied payload of 1 kg for electronics, and requiring a communication range of 1-10 kilometres. To support this requirement a new communication framework was introduced and implemented based on the ad hoc network concepts. With one radio module per dirigible the designed and developed wireless interface allows any UAV or the GCS to exchange flight control commands, telemetry data, and aerial photos. We made use of the advanced networking tools of the Digi's 9XTend™ radio modules to develop route tracing, traffic prioritization, and minimizing self-interference between simultaneous transmissions. Initial test results showed that without any data flow control in the network, packets can be received in the wrong order following different routes and cause errors in the transmission of photos or recorded video. This issue was resolved through acknowledgements to control the flow of packets. Using radios with half-wavelength dipole antennas we were able to achieve a one-hop range of up to 5 km with the radio-frequency line-of-sight.
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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".