Experiments on Collaborative Transport of Cable-suspended Payload with Quadrotor UAVs
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
The use of drones to transport cargo is an important application of unmanned aerial vehicles. Given the limited payload capacity of a typical small drone, the notion of utilizing multiple drones to transport heavy payloads presents a promising alternative. This article describes an easy to deploy system of multiple drones with a cable-suspended payload to enable flight testing of guidance, navigation, and control strategies for such systems in realistic operating conditions, outside of a laboratory. A unique aspect of our system is the use of Ethernet cables to ensure fast and reliable communications between vehicles. Deploying the system with a basic leader- follower guidance strategy and the PX4 flight stack for low-level control of each vehicle, we demonstrate collaborative payload transport through an extensive experimental campaign. We are able to autonomously transport payloads up to 2kg with two vehicles and up to 3kg with three off-the-shelf, 1kg vehicles. The paper also presents a brief discussion of failure cases and points to worthwhile directions for further research on this topic.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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