Exploring Modal Switch in Metamaterial-Based Robots
Bibliographic record
Abstract
Mechanical metamaterials are microscale patterned structures that are designed to have specific mechanical properties at a macro-scale that are atypical of natural materials. Robotic manipulators composed of these materials can exhibit deformation and motion capabilities that can be customized and easily fabricated. However, as of now, the motion capability of such manipulators are encoded in their physical composition and cannot be changed. This paper presents multimodal metamaterial-based robot prototypes which can switch between the behaviors found in two different metamaterials. Two such robots are explored, a bending/shearing robot and a bending/twisting robot. The robot design is described in detail, including how the robots toggle between behavior modes via mechanical actuation of a sliding rod insert. Multi-modal robots are compared to their single-mode equivalents to characterize their capabilities. The single-mode behaviors are largely preserved in the multi-modal innovations. The multi-modal prototypes also demonstrate variable rigidity. We discuss the feasibility of using robots of this design as part of a robotic surgical system.
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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".