Measuring and Positioning System Design of Robotic Floor-tiling
Bibliographic record
Abstract
Measuring and Positioning System Design of Robotic Floor-tiling Tianyu Liu, Huixing Zhou, Yanan Du and Jianping Zhao Pages 716-721 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: The research of floor-tiling robots aiming to replace the artificial floor tile installation, which is a trend in the development of construction automation. Modular design of the robotic floor-tiling system used embedded PC as the main controller, which has several advantages, such as reliable system performance, convenient modular communication, and simple function improvement. The measuring and positioning system of robotic floor-tiling consists of multiple subsystems. The task calls of each subsystem are allocated in real time through control flow and control algorithms. Feasibility of the measuring and positioning system is proved by test run and the future works are discussed. Keywords: Robotic floor-tiling; Control system; Embedded PC; Modular design DOI: https://doi.org/10.22260/ISARC2019/0096 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".