The use of perceptual cues in multi-robot box-pushing
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Bibliographic record
Abstract
In this paper we present an approach to controlling transitions in multirobot tasks which have been modelled as a linear series of steps. A box-pushing task is described as a sequence of sub-tasks with a separate controller designed for each step using finite state automata theory. Perceptual cues are formed by concatenating binary variables which represent locally sensed stimuli into boolean vectors used to specify transitions between sub-task steps. The approach is designed for a redundant set of homogeneous mobile robots equipped with simple sensors and stimulus-response behaviours. A set of perceptual cues used in box-pushing are designed and tested on 10 physical mobile robots. It is argued that perceptual cues and finite state automata offers a new approach to environment-specific task modelling in collective robotics.
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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