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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".