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Orca Hand tactile data becomes much less useful when noise and unstable thresholds leak directly into contact labels or downstream grasp-learning datasets.
How are you filtering sensor noise and deciding whether contact labels are reliable enough to keep?
Please share how you separate real contact from drift or vibration, what filtering approach you trust, and how label quality is checked before training or evaluation.
If you reply, include one exact noisy-signal symptom and one exact filtering or QA step that improved label quality.