[Orca Hand] Retargeting latency and glove mapping for builders researchers (intermediate)

How do you decide whether an Orca Hand teleop stack feels responsive enough for real demonstrations instead of just a nice short demo?

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Orca Hand demos often look acceptable in video while still feeling too slow or too confusing for the operator to produce consistent data.

How do you measure and improve retargeting latency and glove-to-hand mapping before running longer teleoperation sessions?

Please share practical checks for operator feel, finger correspondence, update-rate bottlenecks, and what level of lag is still usable.

If you reply, include one exact latency symptom and one exact change that made the hand feel more predictable.

Module: Orca Hand · Audience: builders-researchers · Type: question

Tags: orca-hand, retargeting, latency, glove-mapping

Comment 1

The useful replies will identify the slowest layer, not just say it feels laggy. Operator feel should be tied to actual pipeline checkpoints.

Comment 2

Short pinch and release benchmarks are often enough to tell whether glove mapping is intuitive or misleading. Share the smallest test that works for you.

Comment 3

If lag reduced your dataset quality, say how you noticed it. Searchers often care about whether the data is still worth keeping.