Sixiang Chen

Achieving a mean visual order consistency of 0.9872, Robo-Dopamine 2.0 significantly outperforms traditional reward models, demonstrating its superior ability to handle OOD scenarios in robotic manipulation.

Action-conditioned world models may be failing in fundamental ways, with systematic degradation in simulator fidelity revealed by a new diagnostic framework.

Creative agents can now maintain context and evolve projects in real-time, transforming how we approach multimodal production.