Line-of-sight task-space sensing for the localization of autonomous mobile devices
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
In this paper, a multi line-of-sight (LOS) task-space sensing methodology is presented for guidance-based localization of mobile devices (e.g., autonomous vehicles and robots). The mobility requirement of the localization/docking application dictates the minimum number and the type (planar or spatial) of the lines of sight. It is envisioned that, a multi-LOS sensing system will be configured for the task at hand using several, one or two degree-of-freedom (dof), sensing modules. One such module is also proposed in this paper: it comprises a laser source, a (1 or 2 dof) galvanometer mirror and a photodetector. A guidance algorithm would only be invoked at the final stages of vehicle/robotic-end-effector motion after the long-range positioning phase has failed to locate the vehicle at its desired pose (position and orientation). By utilizing a multi-LOS based sensing system the guidance algorithm would successfully minimize the systematic errors of the vehicle, while allowing it to converge to its desired pose within the random noise limits. This has been verified in both simulation and experiments, as presented herein.
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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 | 0.000 | 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 it