GROUND-PURITY INSPECTION FOR A GROUP OF ROBOTIC CLEANERS
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 main purpose of this paper is to create a mechanism that can automatically inspect ground cleanliness of a group of mobile cleaning robots. A single-chip Microcontroller PIC18F4520 is used as a control core in the robot. The robot driven by two DC motors is equipped with two ultrasonic-ray-distance-detectors to calibrate the robot’s movement via the detected angle between the wall and the robot. In addition, a vertical movement mechanism used to lift and put down the sample-gathering device is actuated via a motor-driven cam system. Moreover, a sample specimen of the ground impurity gathered by white gummed tape will be scrolled by a motor to a specified position for further photographic processing. The captured image will then be transmitted back to the remote pc –the master pc– for image analysis and cleanliness classification via a wireless network and a series port transmission protocol. Consequently, experimental results reveal that robot-inspected ground-cleanliness using image processing (a graying, a binarization, and a double erosion process) can determine the purity of the ground.
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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 | 0.001 |
| 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