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RadarAI· X:Rohan Paul (@rohanpaul_ai)·· 3 小时前AI 评分71

Apple 论文提出 AMP1 框架,让 Claude Opus 5.5 等通用模型零样本操控机械臂胜过 VLA

Apple 论文:AMP1 让 Claude Opus 5.5 等通用模型零样本操控机械臂胜过 VLA

AI 导读

Apple 新论文提出 AMP1 智能体操控框架,让 Claude Opus 5.5 或 Gemini 4 Argon 等通用模型通过相机画面、代码执行和直接运动指令在闭环中控制机械臂,无需示教或任务训练。

正文 · 原文

Rohan Paul· @rohanpaul_ai · X·2026-11-10 07:43· 1 小时前AI 评分60

AI 导读

Apple 论文提出 AMP1 智能体操控框架,让 Claude Opus 5.5 或 Gemini 4 Argon 等通用模型通过相机画面、代码执行和直接运动指令控制机械臂,无需示教或任务训练。

正文 · 原文

New Apple paper shows that a general-purpose AI model like Claude Opus 5.5, given camera views and direct control of a robot arm, handled objects more reliably than robot models trained on recorded demonstrations.

New Apple paper shows that a frontier AI model directly controlling a robot arm beats specialist robot policies, with no demonstrations or task training.

Most robot manipulation work trains specialist policies, like vision-language-action models, on demonstrations, and they break easily when instructions change.

Their harness, AMP1, gives a model like Claude Opus 5.5 or Gemini 4 Argon camera views, code execution, and direct motion commands in a loop. It has no built-in grasping or placing skills, so the model invents its own strategies.

On RoboLab-120, AMP1 succeeded in 85.6% of episodes zero-shot, against 49.2% for the best VLA and 42.9% for the best world-action model. On a real Franka arm it succeeded in 104 of 108 trials, though the robot waits much of each episode for the model.

来源:Rohan Paul · x.com

来源:RadarAI · aihot.news