An Improved Approach for Optogenetic Locomotion Control of Caenorhabditis Elegans
Bibliographic record
Abstract
Animals have greatly inspired the development of robotics with their sophisticated bodies after the evolution of millions of years. By directly harnessing the intelligence of animals, the technical bottlenecks such as integration of actuation mechanism and energy source for untethered microrobot could be overcome. Our research group proposed an approach to develop a living soft microrobot by optogenetic locomotion control of Caenorhabditis elegans, called RoboWorm. This thesis work further improves the RoboWorm technology. Firstly, the applications of RoboWorm to support biophysical research of C. elegans are illustrated through a literature review. Secondly, the performance of RoboWorm has been significantly improved by generating a new transgenic strain of C. elegans, with a different approach to hijack the worm motor neurons. The third aspect is to improve the operation and enhance the user-friendliness of the RoboWorm system. Overall, this thesis improves the performance and demonstrates applications of the RoboWorm technology.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".