GROUND-PURITY INSPECTION FOR A GROUP OF ROBOTIC CLEANERS
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".