Radar / AI robotics / DAXI ACE-Brain-0.6
DAXI ACE-Brain-0.6 - visual-spatial-anchoring embodied base model
Visual-spatial-anchoring embodied base model from DAXI Robotics, built by SFT on Qwen3.5-9B and trained on ~1M spatial-anchoring samples (940k images, 2.7M QA pairs), unifying object recognition, localization, spatial relations, affordance, and interaction-area prediction.
Why it matters
A 9B specialist that reportedly beats OpenAI's GPT-6 Astra on 6 of 8 grounding benchmarks - a data-scale win for robot spatial perception, the accuracy bottleneck in physical action.
What you could build with it
A warehouse robotics team could use the spatial-anchoring model to improve pick-and-place accuracy for small parts where vision models currently misjudge object boundaries.
Does it hold up?
Too early to judge. No public weights, demo, or API exist; every benchmark number is vendor-published (the Sina coverage itself notes third-party verification is pending). Nothing built by anyone outside DAXI Robotics has surfaced.
Learn more
First spotted on article: source.
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