Disclosure: I work with a team that collects and licenses paid robotics training datasets.
I’ve been speaking with robotics teams about human demonstration data, and every team seems to evaluate it differently.
Some only need egocentric video, while others require synchronized wrist views, task labels, collection metadata and licensing documentation.
We currently have small evaluation samples from the US, UK and Australia, covering:
• Egocentric demonstrations
• Egocentric + two wrist views
• Task and step labels
• Country and collection metadata
The small evaluation samples are free, but the complete datasets and custom collection services are paid.
For teams working on robot manipulation or embodied AI, what do you normally check first?
Camera coverage, task diversity, collection country, metadata quality or licensing?
I’m mainly trying to understand what makes a sample genuinely useful before preparing more of them.
submitted by /u/WideAmbition1964
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