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NewsTopic · 大晓机器人动态1 min read·2026-10-19

Embodied AI Firm Daxiao Robotics Releases ACE-Brain-0.6, Claims Superior Spatial Grounding vs. GPT-6 Astra

Daxiao Robotics released the ACE-Brain-0.6 embodied model based on Qwen3.5-9B, disclosing self-tested scores that surpass OpenAI's GPT-6 Astra in several spatial grounding benchmarks.

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2026-10-19 14:37 GMT+8

Chinese embodied AI company Daxiao Robotics released ACE-Brain-0.6, a vision-spatial anchoring enhanced embodied foundation model, on October 19, 2026. Founded by SenseTime co-founder Wang Xiaogang, Daxiao developed the model using supervised fine-tuning on Qwen3.5-9B to improve target recognition, spatial localization, and interaction area judgment for physical AI applications.

According to Daxiao's disclosure, ACE-Brain-0.6 was trained on approximately one million spatial anchoring samples. The company claims that in eight Grounding evaluations, six results exceeded those of OpenAI's GPT-6 Astra. Specifically, across seven public benchmarks, ACE-Brain-0.6 achieved an average score of 74.53, compared to 73.68 for GPT-6 Astra. In the RobotGrounding evaluation for real-world robot scenarios, it scored 94.13, surpassing Astra's 91.10. The announcement did not specify whether tests were simulated or on real hardware, nor did it disclose specific hardware configurations.

Daxiao Robotics, considered a key new business within the SenseTime ecosystem for embodied intelligence, has completed hundreds of millions of dollars in funding as of October 2026.

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大晓机器人动态

【背景】上海大晓无限机器人有限公司(简称“大晓机器人”)由商汤科技联合创始人王晓刚创立,专注于具身智能领域。该公司通过自研的ACE研发范式和“开悟”世界模型,试图解决具身智能行业的数据荒与泛化难题。

5 steps0 piecesUpdated 2026-10-19 19:46

How it got here

  1. 2025-12-19大晓机器人发布ACE具身研发范式、开悟世界模型3.0(Kairos 3.0)及具身超级大脑模组A1,宣布向全行业开源。
  2. 2026-03-03团队提交ACE-Brain-0论文至arXiv,提出将空间智能作为不同物理形态(如车辆、机器人)的共享支架。
  3. 2026-07-05发布ACE-Brain-0.5技术报告,介绍包含SSR+训练范式的统一具身基础模型,并在LIBERO等操作基准上展示性能。

What is still unsettled

  • ACE-Brain-0.6超越GPT-6 Astra的评测结果是否得到第三方独立机构的复现或确认?
  • 大晓机器人在完成数亿美元融资后,其“晓满”等商业解决方案的具体营收贡献及客户留存率如何?
  • Kairos世界模型与国产芯片(如沐曦、壁仞)的适配在实际高负载推理场景下的稳定性表现如何?
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