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[OpenArm] Demonstration timestamp alignment for teleop datasets for builders integrators (intermediate)

How do you decide whether OpenArm teleop timestamps are aligned well enough to trust replay quality and downstream training?

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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.

Related troubleshooting path: Base Mount Moved And Calibration Reference No Longer Matches · Can Bus Timeouts And Recovery

Module: OpenArm · Audience: builders-integrators · Type: question

Tags: openarm, timestamps, teleop-dataset, alignment

Comment 1

Replay drift is often where alignment problems become obvious. If you use a standard replay test, it would help a lot to share it.

Comment 2

Some teams fix collection, others fix post-processing. Distinguish those approaches so searchers know where to intervene first.

Comment 3

If you have a threshold for when a recording is too misaligned to keep, include that rule. That is highly reusable knowledge.

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Quick FAQ

What is the fastest intermediate diagnosis flow?

Reproduce "[OpenArm] Demonstration timestamp alignment for teleop datasets for builders integrators (intermediate)" in a controlled loop, then compare baseline vs current measurements before applying partial fixes.

python tools/reproduce_issue.py --case current_thread
python tools/validate_fix.py --checklist standard_intermediate
When should I stop patching and run full recovery?

If residuals or drift fail your acceptance limits after warmup, switch to full recalibration/recovery workflow.

Can I copy these commands as-is?

Use them as a checklist template first. Confirm interface names, fixture IDs, and safety conditions in your own cell before execution.