RoboTwin-Phys: Do WAMs and VLAs Understand the Physical World?

arXiv:2609.26292 · cs.RO · Submitted 2026-09-22 · Read on arXiv

cs.RO

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Benchmark — 38× in this paper · explained in 2 episodes
• Robustness — 15× in this paper · explained in 5 episodes
• Vision-Language-Action (VLA) Models — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Center of Mass (CoM) — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
• $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
• G0.5: One Autoregressive Stream for Robot Reasoning and Action
• Fast-WAM: Do World Action Models Need Test-time Future Imagination?

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