Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents

A vision-language agent framework for building physics-based simulated worlds from real-world data, advancing embodied AI and robotics simulation.

Auto-scored: A capability paper with no direct misuse or safety escalation, only minor framing-level risk.