QUICK TWO-WAY TIME MESSAGE EXCHANGE FOR TIME SYNCHRONIZATION IN ROBOT NETWORKS
Why this work is in the frame
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Bibliographic record
Abstract
Time synchronization is important for coordination and control in multiple robot networks. Two-way time message exchange (TTME) time synchronization is efficient, but due to variable response latency, it does not completely meet the requirements for quadrotor robot groups. Aiming to provide accurate time synchronization for robots, the proposed quick TTME synchronization starts a downlink after an uplink quickly and tries to maintain a fixed clock offset for the estimation. A timeout constraint is used to filter invalid observations and optimize clock offset estimation. This avoids the increasing clock offset caused by large software latencies and communication link delays, guarantees a fixed clock offset for TTME, and provides precise and stable clock offset estimation for time synchronization in robot networks.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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