A Lightweight Modular Segment Design for Tendon-Driven Continuum Robots with Pre-Programmable Stiffness
Bibliographic record
Abstract
Tendon-driven continuum robots' inherent flex-ibility which, while advantageous for manoeuvering through confined spaces, leads to reduced stiffness. In addressing this, we introduce a novel modular backbone design, where each segment consists of units employing compliant mechanisms. Three distinct unit designs are proposed, offering modularity to tailor the backbone stiffness. Each unit can bend upto 90 de-grees and is easily manufacturable via 3D printing. A proof-of-concept robot, composed of two segments and 10 modular units, is demonstrated to validate the proposed design. This robot, weighing 78.8 g with a total length of 615.6 mm and a diameter of 40 mm, showcases enhanced stiffness without compromising on flexibility. Through this modular approach, we establish a systematic methodology to customize stiffness in tendon-driven continuum robots, paving the way for broader application and enhanced performance in complex environments.
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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".