GPT-6 Astra 当机器人策略：与 PI0.5 配合跑分

ClaraChengGo @ClaraChengGo原推发布于 2026.09.14

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Great work that measures GPT6 Astra as an Embodied Policy by Yu-Mool Shu and Lipxin Zheng. It further proves with numbers that VLA handles dexterous movement, while the General Model oversees supervision, error correction, and replanning. Interesting numbers: For the average performance across 10 tasks in RoboDojo, PI0.5 gets 24%, Astra gets 37% but together they achieves 62%. But for RoboLab, Astra itself gets 98%. As for the contribution, GPT 6 Astra is correcting only 14.4% of the executed control steps and the remaining 85.6% following the actions by PI0.5​. Link: https://anonymous-report-421.github.io/public-website/?lang=en&view=1