ACE-Brain-0.6: Scaling Spatial Grounding for Physical Foundation Models
General-purpose multimodal models, including GPT-6 Astra and Claude Opus 5.5, demonstrate broad capabilities in embodied manipulation. Our analysis indicates that this generality is accompanied by strong spatial perception, as Astra can determine where to interact with task-relevant entities amid visual distractors. Because spatial perception connects high-level reasoning to the physical scene, we investigate scaling visual grounding to strengthen the perceptual foundation of general embodied operation. We develop a unified data pipeline that combines robot manipulation recordings with complementary visual data from diverse sources. After automatically annotating the robot recordings, the pi
| Authors | Yinhe Wang, Tao Tao, Zexin He et al. |
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| Published | 19 October 2026 |
| Last updated at source | — |
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