On the Design of Mechanically Programmable Underactuated Anthropomorphic Robotic and Prosthetic Grippers
Bibliographic record
Abstract
This paper presents several innovative features that aim at improving the mechanical design of underactuated anthropomorphic grippers. Based on prototypes previously developed, the characteristics of a tendon-driven underactuated finger and a reconfigurable thumb are first presented. Their geometry, coverings and attachment principles are detailed. Then, a novel approach to mechanically couple the thumb with the four fingers is presented. Using a lever, this approach provides the ability to mechanically prescribe a desired distribution of the forces/velocities during the actuation. A static model is developed to visualize the possibilities offered by this principle. Also, a compact mechanism that allows underactuation between the four fingers is described. This mechanism significantly improves the synchronization of the outputs. Additionally, a mechanical selector is introduced that makes the gripper mechanically programmable by allowing to selectively block one or many outputs. The use of this mechanical selector, combined with the reconfigurable thumb and the underactuation between the fingers, allows a gripper to produce several grasping modes without the need of additional actuation. Finally, a prototype including all these features is briefly described.
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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".