Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
arXiv:2607.19190v1 Announce Type: cross Abstract: Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover scene geometries and object states, infer physical parameters, and as