Experiments on a novel modular cost-effective RFID-based mobile robot navigation system
Why this work is in the frame
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Bibliographic record
Abstract
Mobile robot navigation using an analog signal strength of a Radio Frequency IDentification (RFID) device is a promising alternative of different types of robot navigation methods in the state of the art. Skilled navigation in mobile robotics usually requires solving two problems: the knowledge of the position of the robot, and a motion control strategy. Moreover, when no prior knowledge of the environment is available, the problem becomes even more challenging, since the robot has to build a map of its surroundings as it moves. These three problems ought to be solved in conjunction, since they are inter dependent. The objective of this manuscript is to introduce an innovative cost-effective mobile robot navigation strategy using the features of a specific analog signal from an RFID system. The proposed navigation method is easily implementable on virtually any indoor robotic system with a low computational complexity. Numerical computer simulations are carried out to illustrate the performance of the proposed scheme.
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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 | 0.001 | 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 | 0.001 | 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