Wave filter bank for high fidelity passive multirate haptic interaction with slowly updated virtual environments
Bibliographic record
Abstract
This paper proposes a filter bank-like structure with a local model of interaction for improving the performance of passive multirate wave variable control of haptic interaction with a slowly updated virtual environment. In the proposed structure, the low frequency component of the outgoing wave at the user's side is sent to the slow virtual environment, and the high frequency component is sent to a local model of interaction. Low-pass and high-pass filters separate the outgoing wave into the two components. Frequency domain analysis tools and lifting are used to investigate the effect of utilizing a local model of interaction in conjunction with the slow virtual environment. The analysis shows that: (1) the proposed control structure significantly improves the admittance transmitted to the user at both low and high frequencies; and (2) the parameters of the local model have little impact on the stability of the haptic system, unlike the parameters of local models developed in the power domain. Experiments with a Phantom Omni haptic device probing a slowly updated virtual wall validate the analytical results.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".