Experimental demonstration of a swimming robot propelled by the gradient field of a Magnetic Resonance Imaging (MRI) system
Bibliographic record
Abstract
Travelling inside the human body is an on-going scientific challenge. In this paper, we propose a new way of propelling robots inside the human body for gastro-intestinal applications actuated with the gradient field of an unmodified Magnetic Resonance Imaging (MRI) system. The robot is composed of a soft ferromagnetic head and a plastic tail attached together. This assembly is then placed in a bath of water inside an MRI system. The main field of the MRI is used to magnetize the head of the device while a gradient field is used to put the robot into motion. The oscillating magnetic gradient creates a force perpendicular to the direction of swimming and as the device drifts in this direction, the lift produced on its tail moves it in the forward direction. A study varying the length of the tail of the robot from 20mm to 80mm, the frequency applied and the amplitude of the gradient has been conducted and is developed in the following.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".