Ditto-Bench tests GPT-6 Astra on complex physical robot control
The authors built Ditto-Bench, which places simple goals inside complex physical constraints, to compare GPT-6 Astra and MolmoAct2 on robot control.

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 🧵👇