Event
CITIC Securities: GPT-6 Astra Enters Exploration of Robot Control
2 reports · 2 sources
CITIC Securities released a research report on October 26 stating that GPT-6 Astra, released by OpenAI on September 3, 2026, is extending from high-level robot task planning toward motion generation and execution control. Institutions such as NVIDIA and Stanford are exploring its use for robot control, leveraging visual understanding, spatial reasoning, and task planning capabilities to reduce reliance on specialized policy training. The report also sets out limitations: Astra's average single-inference latency for direct motion generation is 18.56 seconds, versus millisecond-level latency for specialized motion models; the estimated API cost per successful episode is USD 36.40, versus USD 1.96 for direct control approaches. On this basis, CITIC Securities judges that in the short term, general-purpose models are more likely to divide work and coordinate with specialized models such as VLA and WAM, and forecasts that general-purpose models entering the embodied task domain in 2027 will become the AI industry's next area of investment. The above are all views from the research report and are not proven deployment results.
Report timeline
- CITIC Securities Research Report: GPT-6 Astra Enters Robot Control, Physical AI Reaches a Major Inflection Point
A CITIC Securities research report concludes that GPT-6 Astra, released by OpenAI on September 3, 2026, is extending from high-level robot task planning toward motion generation and execution control, and that general and specialized models are more likely in the near term to divide work and coordinate.
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- CITIC Securities: GPT-6 Astra Enters Robot Control, Physical AI Reaches a Major Inflection Point
A CITIC Securities research report notes that institutions such as NVIDIA and Stanford are exploring the use of GPT-6 Astra for robot control, leveraging its visual understanding, spatial reasoning, and task planning capabilities to reduce reliance on specialized policy training. Astra has shown good generalization on embodied task datasets. CITIC Securities believes that in the near term, general-purpose models are more likely to divide and coordinate work with specialized models such as VLA and WAM, and that general-purpose models entering the embodied task field in 2027 will become the AI industry's next investment direction.
36Kr Embodied Intelligence ·