Advances in 3D Printing Technologies for Fabricating Magnetic Soft Microrobots
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Magnetic soft robots have garnered interest in recent years due to their various capabilities specifically in biomedical applications. These robots are fabricated by combining magnetic microparticles with soft elastomers to create composite materials, in order to achieve stimuli‐responsive properties. Such structures enable precise and remote actuation for controlled movement. Advancements are currently being made in many aspects of fabrication, such as sensor incorporation, actuation and navigation systems, and design optimization. This review provides a comprehensive summary of the fundamental principles of magnetism and common actuation techniques to help understand how these magnetic soft robots are designed and fabricated using 3D printing technology. Each fabrication technique outlines the general process, advantages, disadvantages, and capabilities such as resolution. Key applications for both biomedical and environmental areas are examined. Finally, current challenges and future research directions are outlined to advance the design and functionality of magnetic soft robots.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it