Switching Between Magnetic or Oxigen Sensory Input for the MC-1 Flagellated Bacteria to be Used for Controlling the Motion of Swarms of Bacterial Microscale Nanorobots
Bibliographic record
Abstract
Our previous studies have shown that the flagellated nanomotors combined with the nanometer-sized chain of magnetosomes of a single Magnetotactic Bacterium (MTB) can be used as an effective integrated propulsion and steering system for microscale nanorobots. In this case, magnetotaxis has been exploited to control the swimming direction of the flagellated bacteria. This was done by inducing a directional torque on the chain of magnetosomes embedded in each bacterial cell. This approach allowed us to control swarms of flagellated bacteria of type MC-1 to accomplish relatively complex computer coordinated tasks such as micro-assemblies and drug deliveries, to name but only two examples. But the motion of each cell can also be influenced by other sensory means besides magnetotaxis, and includes chemotaxis, phototaxis, and aerotaxis. Here we show examples of MC-1 flagellated bacteria being controlled by magnetotaxis or aerotaxis. It is then demonstrated that these flagellated bacteria can not only provide an effective propulsion and steering system for future bio-nanorobots but also various sensory means capable of influencing their motions and swarm formations.
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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".