Ditto-Bench stress-tests GPT-6 Astra and MolmoAct2 on physically challenging robot control
jmin__cho · x · 2026-10-09
Researchers built Ditto-Bench, where simple goals meet challenging physics — complex geometric constraints, precise contact, improvised tool use — and benchmarked GPT-6 Astra and MolmoAct2 on it. They systematically ablated key design choices to understand why these robot-control agents succeed or get stuck, and explored new possibilities like in-context learning for robotics.
More from Embodied
- Ditto-Bench stress-tests GPT-6 Astra for robot control: simple tasks shine, physics stalls — anand_bhattad · 2026-10-09
- NVIDIA shows frontier AI agents building Omniverse simulations from natural language — nordicinst · 2026-10-09
- NVIDIA Shows Six Projects Building Omniverse Simulations With Frontier AI Agents Like Astra — NVIDIA Blog · 2026-10-09
- Tesla Vision-Only Robotaxi Handles Nighttime Downpours, Silencing Earlier Skeptics — elonmusk · 2026-10-09
- Hark Sees Explosive 48-Hour Growth, Brett Adcock Says Team Scrambling to Fix Infra — adcock_brett · 2026-10-09
- aimotive driving dataset: train labels come from a tracker that sees the future — RexDouglass · 2026-10-09