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AA-Robotics v0.1: General AI Models Face Real-World Robot Tasks

1 reports1 reporting sourcesUpdated 6 hours ago

Overview

Event synthesis

AA-Robotics v0.1 evaluates general AI models in real robotic tasks like pouring and building. GPT-6 Astra leads but faces stability and cost issues in physical interactions, showing gap between language and physical execution.

Generated from attributed reports · Updated 54 minutes ago

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Reported quantity · time: 52 other · Basis not reported
Supporting report

“五款模型中,除了 Gemini 4 Argon 平均耗时约 52 分钟,另外四款完成一项任务大约都要半小时。”

Exact source · revision 1

jiqizhixin

Reported quantity · price: 150 other · Basis not reported
Supporting report

“一台售价约 150 美元的机械臂,在 Astra 的控制下,竟然能根据摄像头画面自主规划动作,一笔笔画出金门大桥。”

Exact source · revision 1

jiqizhixin

Report timeline

Follow attributed reports and material updates.

10/15
  1. Machine Heart — Robotics on WeChatSignal
    Should General-Purpose Large Models 'Dimensional Strike' Embodied Intelligence? The First AA-Robotics Ranking is Here

    The AA-Robotics v0.1 evaluation for the first time places general-purpose large models in real robotic tasks, testing their ability to control robotic arms to perform tasks such as pouring water, writing, and building with blocks. Although GPT-6 Astra leads in overall scores, the model still faces challenges in stability, speed, and cost efficiency in physical interactions, highlighting the gap between language understanding and physical execution.

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