Novel soft robotic finger model driven by electrohydrodynamic (EHD) pump
Bibliographic record
Abstract
In summary, this work has pioneered the integration of an EHD robotic finger that incorporates a flexible rubber sheet embedded with soft EHD pumps. The model of this study links the electrical characteristics of the EHD pump (voltage input) with the geometric constraints of the robotic mechanism (deflection angle). The validity of this model has been empirically demonstrated. Our research findings primarily revolve around the manipulation of robotic arms and grasping mechanism. The synthesis of an experimental design and a comprehensive mathematical model showcases the potential of EHD pump-driven soft robotic applications ranging from delicate medical procedures to agile manufacturing processes. Moreover, the achieved maximum bending angle of 37° at 10 kV stands as a testament to the effectiveness of the proposed design and methodology. As an important foundation work in the realm of soft robotics, this research intends to serve as a catalyst for subsequent investigations in EHD pump-robot systems. Noteworthy examples include precision grasping in robotics, complex robotic hand operations, and promoting human-robot collaboration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".