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Ditto-Bench:测试 GPT-6 Astra 在复杂物理机器人控制中的表现

作者搭建 Ditto-Bench,把简单目标放进复杂物理约束里,对比 GPT-6 Astra 与 MolmoAct2 的机器人控制能力。

Lin Long
@Kylin_0Long24 天前收录原推发布于 2026.10.09
Ditto-Bench:测试 GPT-6 Astra 在复杂物理机器人控制中的表现
Lin Long @Kylin_0Long原推发布于 2026.10.09
在 X 上打开原推

GPT-6 Astra has shown impressive results in simple robot control tasks. But what if the tasks become more challenging and involve complex geometric constraints, precise contact, or improvised tool use? To find out, we: - Built Ditto-Bench, where simple goals meet challenging physics, and tested both Astra and MolmoAct2. - Systematically ablated key design choices to understand what makes these robot-control agents succeed, or get stuck. - Explored what new possibilities these models could open up for robotics, such as in-context learning. More details 🧵👇

x.com/kylin_0long/status/2108292995678347492采集于 2026.10.09 10:38