Synchronize the episode
Review the sensor scene, action phases, state, and annotations on one synchronized timeline.
AuraOne Open
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AuraOne Open / Robotics data review
Open the bundled example or a supported JSON or JSONL manifest, inspect failures and recoveries, run local quality checks, and export the reviewed results.
For robotics and embodied-AI teams that need local-first dataset inspection, review context, and portable exports.
What you can do
Get started
Clone the repository, inspect dataset and rights boundaries, then follow the current README for supported local setup.
git clone https://github.com/auraoneai/robotics-studio-open.gitReview the sensor scene, action phases, state, and annotations on one synchronized timeline.
Tag moments, compare clusters, and preserve reviewer judgment beside the source sequence.
Download a local review archive with manifests, quality results, decisions, and checksums.
See how the product moves from setup through a useful output.
01
Load the bundled example or a supported JSON or JSONL manifest and confirm its source and schema.
Dataset and source manifest
02
Review actions, state, video, and sensor signals on the same episode timeline.
Episode inspection record
03
Record failure, recovery, ambiguity, and quality judgments with reviewer identity.
Annotations and cluster evidence
04
Confirm selected episodes, exclusions, quality checks, and data-use boundaries.
Review decision
05
Create a local review archive, then connect a supported destination when the export is approved.
Reviewed release record
Overview
Review the current source, release, runtime, and support information.
Availability
Review the current version, source, packages, downloads, supported platforms, and install options.
Robotics Studio Open, its browser cockpit, and signed macOS Apple Silicon release remain on product version 0.2.0. The dependency-free npm companion is published separately as 0.2.1. Screenshot provenance and binary-release evidence remain separate.
macOS Apple Silicon / 0.2.0
Signed, notarized, stapled, Gatekeeper accepted, checksum verified, and tested through offline install, launch, quit, and uninstall.
SHA-256 b6d08f308c7806df2d67dc34d6d12e9df9f33e135afd61ced1cbb16653f4cf05Continue exploring
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