Prostheses and Exoskeletons: Moving From a Mechatronics Bottleneck through a Controls Bottleneck
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
The human body is an amazing design that is in many ways superior to anthropometric robots, whether throwing a ball This contrast becomes clear when the person becomes injured and we attempt to augment it with a robotic interface such as a prosthetic limb or a powered exoskeleton to regain mobility. Existing robotic augmentation systems tend to be heavy and have significant inertias due to high transmission ratios But equally important, anthropometric robots tend to have difficulty rendering accurate forces (again due to their high gear ratios) or achieve stable gait in the presence of environmental perturbations, and these control challenges are amplified when the robot must coordinate activities with the user. This is a complex problem that requires an accurate understanding of interaction between the mechatronic system, the control platform, and the human.
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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