Author

Weirui Ye

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#artificial intelligence Preprint Sep 2026

LIBERO-MAX: Do Robot Policies Adapt When the World Changes?

Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previous scene. Many simulation robustness benchmarks fix external conditions at reset, leaving this temporal challenge underexamined. We introdu...

Yun-Bei Zhang, Zi-Jian Jin, Yuan-Zhe Liu et al. · 0 citations

Jul 2026

DriftWorld: Fast World Modeling through Drifting

Predictive world models enable robots to plan by imagining the outcomes of their actions, but their value for control hinges on generating many rollouts quickly. This creates a bottleneck for diffusion-based world models: multistep sampling makes each rollout expensive, limiting large-scale action search at inference t...

Susie Lu, Haonan Chen, Weirui Ye et al. · arXiv.org · 0 citations