[OpenArm] Demonstration timestamp alignment for teleop datasets for builders integrators (intermediate)
OpenArm troubleshooting thread: [OpenArm] Demonstration timestamp alignment for teleop datasets for builders integrators (intermediate). Practical checks, likely...
OpenArm teleop datasets lose value quickly when action timestamps, camera timestamps, and robot state logs are not aligned tightly enough for replay or imitation learning.
How are you validating timestamp alignment in OpenArm demonstrations before you trust the data for training?
Please share practical checks for replay drift, frame-action mismatch, dropped samples, and how you decide when a dataset needs to be cleaned or recollected.
If you reply, include one exact misalignment symptom and one exact validation or correction step that helped.
The most useful replies here connect timestamp issues to a visible replay or training symptom rather than only raw logs.
If you use a quick alignment benchmark before a long data run, share it. Searchers often want a short preflight check.
Good answers may also explain whether the fix belongs in collection, post-processing, or dataset filtering.